Find AI Work That Works for You

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About P-1 AI:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world. Our first product is Archie, an AI engineer capable of quantitative intuition over physical product domains and engineering tool use. Archie initially performs at the level of an entry-level design engineer but rapidly gets smarter and more capable. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in deep learning, model-based engineering, and industries that are our customers. We closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.).About the Role:We’re seeking an exceptional AI Research Scientist to join our small team of elite researchers (from places including MIT, Stanford, Yale, Berkeley, Princeton) and help us push the boundaries of AI applied to the physical world. This role blends cutting-edge AI research with hands-on engineering, and is ideal for someone who thrives at the intersection of ideas and implementation.You’ll be leading projects that develop agentic AI systems designed to solve real-world mechanical, electrical, and aerospace engineering problems—systems that think, remember, act, and adapt.This is not a “pure research” position: we’re looking for a hacker-scientist hybrid—someone who’s published in top venues but is not afraid of any layer in the tech stack.Why this Role:Today’s AI models excel at text and code, but struggle when problems require spatial reasoning, quantitative intuition, and long-horizon planning. This role exists to close that gap.What You’ll Do:Apply (or invent) reinforcement learning strategies for reasoning and planning in long-horizon tasks in mechanical, aerospace, and electrical engineering environments.Contribute to both research strategy and technical implementation—this is a hands-on role. Have ownership over your own applied research stream.Collaborate with a small, elite team of researchers and engineers across domains.Stay on the edge of what’s possible and bring promising ideas into reality (e.g. following the literature, attending conferences, etc).Who You Are:You likely:Have hands-on experience with LLM post-training pipelines at the frontier of AI research (IFT, RLVR, RLHF) from data generation/curation to experimentation to evaluation.Are fluent in Python and modern ML stack such as PyTorch or JAX, and distributed training frameworks.Creative approach to bringing definition and solutions to under-specificed challenges.Are excited by applied problems, especially in mechanical, electrical, or aerospace engineering.Thrive in fast-moving, collaborative environments, and communicate technical matters with clarity.Take a high-ownership, “make it work” approach to problem solving.As a bonus, you may have:A PhD (or equivalent experience) in Computer Science, Robotics, Engineering, Math, or a related field.Publications in top-tier venues.Experience with multi-modal transformer architectures.Hands-on experience in physical engineering domains.Deep knowledge of machine learning/reinforcement learning foundations as well as its practical applicationsOur Values:Mission obsession & urgency: We are obsessed with building engineering AGI as quickly as possible. We also recognize that as a startup, speed is our most precious competitive advantage. We are constantly asking ourselves what we can do to go faster. We make tradeoffs and sacrifices (personally and in the workplace) in exchange for speed.Intellectual excellence & curiosity: We ask “what if?” and experiment liberally. We always look for better ways of doing something. We read voraciously. We challenge each other to be better. We surround ourselves with A players and we actively and unapologetically reject B players (and even B+ players - because they tend to surround themselves with C players).Shipping discipline: We treat production with respect. We test and demo our product constantly. We listen attentively to our customers, users, and stakeholders, and we respect our commitments to them. We also respect our commitments to each other and will go the extra mile (or ten or one hundred) to honor them.Ownership: We all have significant ownership stakes in the company and operate in founder mode. We believe in hierarchical requirements but not in hierarchical information flows. If we see that something is broken or can be done better, we flag it and we fix it. We encourage each other to play with and fix anything and everything... but there’s a clear owner for everything.Compensation:Salary: $250k - $350k.This role includes a significant equity component. We are an early-stage startup, so we favor equity over cash in our current compensation philosophy. This role is best suited for candidates who value long-term ownership and impact over short-term cash optimization.Our benefits include healthcare, dental, and vision insurance, 401k with employer matching, unlimited PTO, and meaningful equity. Interview process:Initial screening (30 mins)Biographic/Behavioral interview (45 mins)Technical Interview (60 mins)Culture Fit / Q&A with CEO (30 mins)

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About you:build composable, physics-based models that capture real system behavior.obsess over physical fidelity and numerical stability.find satisfaction when simulation matches test data.optimize models for simulation speed.believe synthetic data is the key to unlocking AI for physical engineering.About us:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world. Our first product is Archie, an AI engineer capable of quantitative intuition over physical product domains and engineering tool use. Archie initially performs at the level of an entry-level design engineer but rapidly gets smarter and more capable. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in deep learning, model-based engineering, and industries that are our customers. We closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.).About the Role:Our Physical Systems Modeler - 1D Simulation builds the simulators and component models that generate synthetic training data for Archie. You will source or develop first-principles models of thermofluid systems (chillers, air handlers, cooling towers, hydronic networks) and electrical power systems (switchboards, transformers, distribution panels) using acausal modeling frameworks like Julia ModelingToolkit or Modelica.Your models will be swept across thousands of operating conditions, fault scenarios, and design variations to produce the high-fidelity datasets that teach Archie how physical systems actually behave. This is foundational work: the quality and coverage of your simulations directly determines the reasoning capabilities of our AI. You'll collaborate closely with ML engineers to ensure your synthetic data translates into real-world performance.What You’ll Do:Develop acausal component models: Build reusable, parameterized models of HVAC and electrical equipment from first principles that can be used for trade studies.Generate synthetic training datasets: Design parameter sweeps and scenario matrices that cover the operating envelope of real equipment, including off-design and fault conditions.Validate models against real-world data: Engage with expert engineers for model review, calibrate simulations to manufacturer specs or field measurements from customer deployments.Integrate with ML pipelines: Work with AI engineers to format, label, and deliver simulation outputs for model training and evaluation.Build and maintain component libraries: Create well-documented, tested libraries that scale across equipment types and can be composed into system-level models.Who You Are:You likely:Have built 1D physics-based physics in languages like Julia (ModelingToolkit) or Modelica (Dymola, OpenModelica), Simulink.Understand thermodynamics, heat transfer, and fluid mechanics at an engineering level.Can derive governing equations from first principles and implement them numerically.Have experience with numerical methods for ODEs/DAEs and understand solver trade-offs.You may also have:Experience in Mechanical, Chemical, or Electrical Engineering.Experience with HVAC system modeling or building energy simulation.Prior work simulating a large number of system configurations for design space exploration.Contributed to open-source modeling projects (SciML, OpenModelica, Modelica Standard Library).Experience with FMI/FMU model export and co-simulation.Are fluent in Python for data processing and pipeline integration.Our Values:Mission obsession & urgency: We are obsessed with building engineering AGI as quickly as possible. We also recognize that as a startup, speed is our most precious competitive advantage. We are constantly asking ourselves what we can do to go faster. We make tradeoffs and sacrifices (personally and in the workplace) in exchange for speed.Intellectual excellence & curiosity: We ask “what if?” and experiment liberally. We always look for better ways of doing something. We read voraciously. We challenge each other to be better. We surround ourselves with A players and we actively and unapologetically reject B players (and even B+ players⸺because they tend to surround themselves with C players).Shipping discipline: We treat production with respect. We test and demo our product constantly. We listen attentively to our customers, users, and stakeholders, and we respect our commitments to them. We also respect our commitments to each other and will go the extra mile (or ten or one hundred) to honor them.Ownership: We all have significant ownership stakes in the company and operate in founder mode. We believe in hierarchical requirements but not in hierarchical information flows. If we see that something is broken or can be done better, we flag it and we fix it. We encourage each other to play with and fix anything and everything... but there’s a clear owner for everything.Compensation:Salary: $150k - $200k.This role includes a significant equity component. We are an early-stage startup, so we favor equity over cash in our current compensation philosophy. This role is best suited for candidates who value long-term ownership and impact over short-term cash optimization.Our benefits include healthcare, dental, and vision insurance, 401k with employer matching, unlimited PTO, and meaningful equity.Interview Process: Initial screening (30 min)Biographical/Behavioral interview (45 mins)Technical interview (60 min)Culture fit / Q&A with CEO (30 min)

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About you:feel an unshakeable pull to work on agentic AI.can usually break an AI or a piece of software in under a minute (if you want to).are a skilled developer yourself.always develop an interest in the subject matter you’re building tests for, and are eager to do the same for the industrial products that run the world.believe in manifesting the future of physical engineering.About P-1 AI:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world. Our first product is Archie, an AI engineer capable of quantitative intuition over physical product domains and engineering tool use. Archie initially performs at the level of an entry-level design engineer but rapidly gets smarter and more capable. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in deep learning, model-based engineering, and industries that are our customers. We closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.).About the Role:In this role, you’ll be responsible for the evals that we use to ensure that Archie is learning and retaining the skills needed to successfully perform its engineering work, and benchmark it against industry skill expectations. Working within a small, tightly-knit team of high-performers, you’ll be principally responsible for clearly defining, implementing, and validating these, including input from our engineering experts and industrial partners. You’ll also be responsible for translating these eval tests into multiple formats for use with different types of AI and non-AI systems and agents.This role is remote and you can be based anywhere in the US or Canada, where you must have existing work authorization. You will be expected to travel to our San Francisco office for co-working sessions approximately one week out of every six. If you are already located in the SF Bay Area or are interested in relocation, you are of course welcome to work out of our SF office. Our AI team is based in the SF office, so there would be some benefit to you being in-office at least part of the time.Responsibilities:Implement the system for organizing, transforming, running, grading, and reporting on eval benchmarks.Design and execute the process by which we develop and QA our evals, incorporating contributions from our own engineering team, industrial partners, and subject-matter experts.Ensure that evals run effectively within our CI/CD system, continuously benchmarking our evolving AI platform and the experiments we’re performing around it.Create methods for detecting and testing for common quality challenges of AI, including hallucinations, undesirable stochasticity, and regressions.Be a technical leader in the consistent implementation and organization of automated tests across other areas of our technology stacks.Skills and Experience:Experience in constructing comprehensive test suites for software and/or AI systems, including coordinating the contributions of others.Experience designing metrics to evaluate systems and visualize their performance, including differences across successive generations.Experience in developing, managing, and running evals against LLM-based systems is a strong plus.Good communication skills with a variety of stakeholders (AI researchers, domain experts, application developers).Proficiency in Python programming, complex modules and modern software development tools and practices (Git, CI/CD, etc.).Ability to thrive in a fast-paced, dynamic startup environment.Our Values:Mission obsession & urgency: We are obsessed with building engineering AGI as quickly as possible. We also recognize that as a startup, speed is our most precious competitive advantage. We are constantly asking ourselves what we can do to go faster. We make tradeoffs and sacrifices (personally and in the workplace) in exchange for speed.Intellectual excellence & curiosity: We ask “what if?” and experiment liberally. We always look for better ways of doing something. We read voraciously. We challenge each other to be better. We surround ourselves with A players and we actively and unapologetically reject B players (and even B+ players⸺because they tend to surround themselves with C players).Shipping discipline: We treat production with respect. We test and demo our product constantly. We listen attentively to our customers, users, and stakeholders, and we respect our commitments to them. We also respect our commitments to each other and will go the extra mile (or ten or one hundred) to honor them. Ownership: We all have significant ownership stakes in the company and operate in founder mode. We believe in hierarchical requirements but not in hierarchical information flows. If we see that something is broken or can be done better, we flag it and we fix it. We encourage each other to play with and fix anything and everything... but there’s a clear owner for everything.Compensation:Salary: $200k - $250k.This role includes a significant equity component. We are an early-stage startup, so we favor equity over cash in our current compensation philosophy. This role is best suited for candidates who value long-term ownership and impact over short-term cash optimization.Our benefits include healthcare, dental, and vision insurance, 401k with employer matching, unlimited PTO, and meaningful equity.Interview Process:Initial screening (30 mins)Biographical/Behavioral interview (45 mins)Programming interview (60 mins)bring your own dev environment and toolsCulture fit / Q&A - with CEO (30 mins)

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About the teamOpenAI’s Forward Deployed Engineering team partners with global pharma and biotech, CROs, and research institutions to deploy existing expertise across the R&D value chain to help customers design and ship production-grade AI systems. We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across regulated environments.About the roleWe are hiring a Forward Deployed Engineer (FDE) to push the frontier on what is possible today across drug discovery (e.g., target identification, molecular design, pre-clinical) and development (e.g., trial design, trial ops, biostats) by leading end-to-end deployments of our models inside life sciences organizations and research institutions. You will work with customers who are deep experts in their scientific or operational domains, translating real-world data, infrastructure, and constraints into production systems.You will measure success through production adoption, measurable workflow impact, and eval-driven feedback loops, including evaluation benchmarks and acceptance criteria, that inform product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM to deliver in regulated contexts, including inspection readiness with audit trails and traceable evidence.This role is based in Dublin. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.In this role you willDesign and ship production systems around models, owning integrations, data provenance, reliability, and on-call readiness across research, clinical, and operational workflows.Lead discovery and scoping from pre-sales through post-sales, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and an execution plan with measurable endpoints.Define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, outcome metrics, and drive delivery until we demonstrate sustained production impact.Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture, operating procedures, and failure handling.Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks and use results to drive model and product changes.Distill deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments.You might thrive in this role if youBring 5+ years of software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software; PhD, MS, or equivalent applied experience in a life sciences relevant field encouraged.Have owned customer GenAI deployments end-to-end from scoping through production adoption, and improved them through evaluation design, error analysis, and iterative evidence generation that tightens acceptance criteria over time.Have delivered AI systems in trial design, regulatory writing, or scientific operations where validation strategy, auditability, compliance constraints, and reviewer expectations shaped system design and rollout.Communicate clearly across scientific, clinical, model research, technical, and executive audiences, translating technical tradeoffs into decision quality, risk posture, and measurable outcomes with credibility.Apply systems thinking with high execution standards, consistently turning failures, escalations, and audit findings into improved operating standards, validation artifacts, and repeatable deployment playbooks.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the teamOpenAI’s Forward Deployed Engineering team partners with global pharma and biotech, CROs, and research institutions to deploy existing expertise across the R&D value chain to help customers design and ship production-grade AI systems. We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across regulated environments.About the roleWe are hiring a Forward Deployed Engineer (FDE) to push the frontier on what is possible today across drug discovery (e.g., target identification, molecular design, pre-clinical) and development (e.g., trial design, trial ops, biostats) by leading end-to-end deployments of our models inside life sciences organizations and research institutions. You will work with customers who are deep experts in their scientific or operational domains, translating real-world data, infrastructure, and constraints into production systems.You will measure success through production adoption, measurable workflow impact, and eval-driven feedback loops, including evaluation benchmarks and acceptance criteria, that inform product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM to deliver in regulated contexts, including inspection readiness with audit trails and traceable evidence.This role is based in Paris. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.In this role you willDesign and ship production systems around models, owning integrations, data provenance, reliability, and on-call readiness across research, clinical, and operational workflows.Lead discovery and scoping from pre-sales through post-sales, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and an execution plan with measurable endpoints.Define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, outcome metrics, and drive delivery until we demonstrate sustained production impact.Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture, operating procedures, and failure handling.Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks and use results to drive model and product changes.Distill deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments.You might thrive in this role if youBring 5+ years of software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software; PhD, MS, or equivalent applied experience in a life sciences relevant field encouraged.Have owned customer GenAI deployments end-to-end from scoping through production adoption, and improved them through evaluation design, error analysis, and iterative evidence generation that tightens acceptance criteria over time.Have delivered AI systems in trial design, regulatory writing, or scientific operations where validation strategy, auditability, compliance constraints, and reviewer expectations shaped system design and rollout.Communicate clearly across scientific, clinical, model research, technical, and executive audiences, translating technical tradeoffs into decision quality, risk posture, and measurable outcomes with credibility.Apply systems thinking with high execution standards, consistently turning failures, escalations, and audit findings into improved operating standards, validation artifacts, and repeatable deployment playbooks.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.📐 About the roleAs an AI engineer at WRITER, you'll be at the forefront of shaping how enterprises harness superintelligence. This isn't just about theory; you'll be building tangible AI solutions that power the future of work for hundreds of the world's leading companies. Your work will directly impact the performance, scalability, and ethical alignment of our cutting-edge LLMs and AI agents, enabling businesses to unlock unprecedented levels of productivity and innovation with AI that is truly grounded in their data.This role can be hybrid in our San Francisco or New York City hubs. You'll report to the head of AI engineering.🦸🏻‍♀️ What you'll doArchitect, develop, and deploy high-performance, scalable AI applications into production environments, ensuring robust integrations with our end-to-end platform.Drive the development of intelligent agents and AI-powered features, translating complex research into practical, impactful solutions for our customers.Collaborate closely with research scientists, data scientists, and product managers to define technical requirements and deliver features that address critical business needs.Contribute to the research and evaluation of emerging AI technologies, frameworks, and tools to maintain WRITER's leadership in the enterprise generative AI space.Champion responsible AI practices, including bias detection, explainability, and safety alignment, making sure our AI is trustworthy and ethical.⭐️ What you need3+ years of professional experience building and deploying machine learning or AI systems in a production environment.Proficiency in Python and experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX.A strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly with large language models.Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for managing the AI lifecycle.Demonstrated ability to write clean, efficient, and well-tested code for scalable software systems.Exceptional problem-solving skills and a passion for tackling complex technical challenges with creative AI solutions.You Connect by collaborating seamlessly across diverse teams, Challenge the status quo to innovate, and Own your projects with a commitment to impact and excellence. 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.📐 About the roleAre you passionate about ensuring the highest quality for cutting-edge generative AI applications? As a Software quality engineer at WRITER, you'll play a critical role in shaping the reliability, performance, and trustworthiness of our AI-powered work orchestration platform. You’ll be at the forefront of defining and implementing rigorous quality strategies for our enterprise-grade LLMs and AI agents, directly impacting how hundreds of global companies unlock transformational value through AI. This is a unique chance to dive deep into the unique challenges of AI quality assurance and make a tangible difference in a rapidly evolving field.This is a hybrid role based out of our London hub. You will report directly to the director of engineering.🦸🏻‍♀️ What you'll doDefine and implement comprehensive quality assurance strategies and test plans for our AI agents and LLM-powered applications, ensuring exceptional product reliability and performance.Designing and developing automation frameworks: creating robust, scalable, and maintainable automated test frameworks from scratch or enhancing existing ones. You’ll need proficiency in at least one language like Typsecript, Python, or Scala.Collaborate closely with product managers, machine learning engineers, and data scientists to understand complex AI features and model behaviors, translating them into effective test cases and validation criteria.Drive the continuous improvement of our testing processes and infrastructure, integrating automated checks within our CI/CD pipelines to ensure rapid, high-quality releases.Identify, document, and track software defects and inconsistencies, performing root cause analysis to provide actionable feedback to development teams.Monitor production systems and AI model performance, proactively identifying potential issues and contributing to post-release quality validation.Champion quality best practices across engineering teams, fostering a culture of ownership and continuous improvement in delivering world-class AI solutions.⭐️ What you need5+ years of hands-on experience in software quality assurance or engineering, with a strong focus on testing complex distributed systems or AI/ML applications.Proficiency in programming languages like Python or Typescript for test automation, and experience with modern testing frameworks such as Playwright.Solid understanding of AI/ML concepts, including model evaluation metrics, data pipelines, and the unique challenges of testing generative AI outputs.Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) in a CI/CD environment is a big plus.Exceptional analytical skills to dissect complex problems and a keen eye for detail, ensuring no bug goes unnoticed.A collaborative spirit that helps you Connect cross-functional teams to common quality goals, Challenge existing assumptions to build better systems, and Own the end-to-end quality of our products.Demonstrated ability to drive initiatives independently and thrive in a fast-paced, evolving startup environment.🍩 Benefits & perks (UK full-time employees):Generous PTO, plus company holidaysComprehensive medical and dental insurancePaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriCompetitive pension scheme and company contributionAnnual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation and company stock options

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🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.📐 About the roleWe're looking for an exceptional software engineer, generative AI to join our rapidly evolving team at WRITER. In this pivotal role, you'll be at the forefront of expanding human capacity by building the next generation of AI-powered solutions that transform how leading enterprises operate. You'll dive deep into developing a state-of-the-art platform that leverages cutting-edge generative AI technologies, from large language models to sophisticated agentic workflows, delivering seamless, scalable, and secure applications that redefine enterprise productivity. This is an unparalleled opportunity to make a tangible impact, shaping the future of AI and contributing to a product that’s changing how the world works.This role is hybrid, based out of our San Francisco, New York City, or London hubs. You'll report to an engineering director or a senior engineering manager.🦸🏻‍♀️ What you'll doDesign and develop robust, scalable, and secure generative AI services and applications using Python and modern frameworks to drive enterprise-wide transformationBuild and optimize high-performance, low-latency APIs and microservices for integrating advanced AI models and agentic workflows into our platformCollaborate closely with product managers, data scientists, and cross-functional engineering teams to translate complex business needs into innovative AI solutions, from concept to productionImplement and maintain responsive user interfaces (primarily focused on backend enablement though some frontend interaction is expected) using technologies like React and TypeScript to deliver intuitive user experiencesPartner with DevOps teams building continuous deployment, logging and monitoring; ensuring top-tier performance and reliabilityOwn key architectural components, ensuring best practices in code quality, security, and maintainability through rigorous testing and peer reviews⭐️ What you need5+ years of hands-on experience as a software engineer, with a strong emphasis on Python development in production environments. We are open to discussing seniority levels from Senior to Staff.Proven expertise in building and deploying generative AI applications, leveraging LLMs, vector databases (e.g., Pinecone, Weaviate, pgvector), and modern open source agentic Frameworks.Deep understanding and practical experience with microservices architecture, RESTful APIs, and cloud platforms such as AWS, GCP, or Azure, including containerization with Docker and KubernetesSolid grasp of modern web technologies including FastAPI, Asyncio, and database systems like PostgreSQLA "Connect" mindset, thriving in collaborative settings where you actively engage with cross-functional teams and mentor junior engineers to achieve shared goalsA "Challenge" spirit, demonstrating exceptional problem-solving skills to tackle complex technical hurdles and proactively suggest innovative improvements to our systems and processesAn "Own" attitude, taking full accountability for delivering high-quality, resilient, and scalable code from conception through to production, continuously driving performance and maintainability🍩 Benefits & perks (UK full-time employees):Generous PTO, plus company holidaysComprehensive medical and dental insurancePaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriCompetitive pension scheme and company contributionAnnual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation and company stock options 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.📐 About the roleWe're looking for an exceptional software engineer, generative AI to join our rapidly evolving team at WRITER. In this pivotal role, you'll be at the forefront of expanding human capacity by building the next generation of AI-powered solutions that transform how leading enterprises operate. You'll dive deep into developing a state-of-the-art platform that leverages cutting-edge generative AI technologies, from large language models to sophisticated agentic workflows, delivering seamless, scalable, and secure applications that redefine enterprise productivity. This is an unparalleled opportunity to make a tangible impact, shaping the future of AI and contributing to a product that’s changing how the world works.This role is hybrid, based out of our San Francisco, New York City, or London hubs. You'll report to an engineering director or a senior engineering manager.🦸🏻‍♀️ What you'll doDesign and develop robust, scalable, and secure generative AI services and applications using Python and modern frameworks to drive enterprise-wide transformationBuild and optimize high-performance, low-latency APIs and microservices for integrating advanced AI models and agentic workflows into our platformCollaborate closely with product managers, data scientists, and cross-functional engineering teams to translate complex business needs into innovative AI solutions, from concept to productionImplement and maintain responsive user interfaces (primarily focused on backend enablement though some frontend interaction is expected) using technologies like React and TypeScript to deliver intuitive user experiencesPartner with DevOps teams building continuous deployment, logging and monitoring; ensuring top-tier performance and reliabilityOwn key architectural components, ensuring best practices in code quality, security, and maintainability through rigorous testing and peer reviews⭐️ What you need5+ years of hands-on experience as a software engineer, with a strong emphasis on Python development in production environments. We are open to discussing seniority levels from Senior to Staff.Proven expertise in building and deploying generative AI applications, leveraging LLMs, vector databases (e.g., Pinecone, Weaviate, pgvector), and modern open source agentic Frameworks.Deep understanding and practical experience with microservices architecture, RESTful APIs, and cloud platforms such as AWS, GCP, or Azure, including containerization with Docker and KubernetesSolid grasp of modern web technologies including FastAPI, Asyncio, and database systems like PostgreSQLA "Connect" mindset, thriving in collaborative settings where you actively engage with cross-functional teams and mentor junior engineers to achieve shared goalsA "Challenge" spirit, demonstrating exceptional problem-solving skills to tackle complex technical hurdles and proactively suggest innovative improvements to our systems and processesAn "Own" attitude, taking full accountability for delivering high-quality, resilient, and scalable code from conception through to production, continuously driving performance and maintainability 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.📐 About the roleAs a customer AI architect at WRITER, you'll be at the forefront of expanding human capacity through superintelligence. This isn't just a technical role; it's a deeply influential one where you'll partner directly with our leading enterprise customers. Your expertise will be crucial in uncovering their unique business challenges and architecting AI-powered solutions that leverage our powerful platform and enterprise-grade LLMs. You'll transform complex needs into tangible, high-impact applications, creating champions and driving tangible business results. Your builder's mentality and passion for bringing cutting-edge AI into the hands of real users will directly shape the future of work for some of the world's largest companies.This is a critical role that directly impacts our customers' success and product evolution. You'll contribute significantly to WRITER's mission, working with a dynamic team to push the boundaries of what's possible with generative AI.This is a hybrid role based out of our London hub. You'll initially report to our VP of technical delivery.🦸🏻‍♀️ What you'll doPartner deeply with enterprise customers to identify strategic AI use cases, validating technical feasibility and owning the end-to-end implementation of tailored solutionsArchitect and deliver custom applications, templates, and integrations leveraging WRITER's platform, APIs, and Knowledge Graph capabilities to solve complex business challengesTranslate intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations, guiding customers through the generative AI landscapeCollaborate relentlessly with internal Product and Engineering teams, providing crucial customer feedback that directly influences our product roadmap and drives continuous innovationDrive down customer time-to-value by developing scalable processes, robust documentation, and efficient workflows for technical integrationsChampion the successful adoption and expansion of WRITER's AI solutions within customer accounts, ensuring maximum impact and return on investment⭐️ What you needOver 5 years of hands-on experience in technical SaaS roles, with at least 3 years specifically in solutions architecture, technical consulting, or technical account managementDeep technical fluency in Python and extensive experience leveraging APIs, especially in designing sophisticated prompts and understanding linguistic principles for AI applicationsProven track record of architecting and delivering complex technical solutions for Fortune 500 enterprises in a fast-paced, high-growth B2B SaaS environmentExceptional communication and executive presence, capable of simplifying complex AI concepts for diverse audiences, from technical teams to C-suite leadershipA true builder's mindset with a passion for emerging technologies, always eager to experiment, learn, and iterate in the rapidly evolving world of generative AIA relentless drive to Connect with customers and internal teams, Challenge the status status quo with innovative solutions, and Own the successful outcomes for our most strategic accounts🍩 Benefits & perks (UK full-time employees):Generous PTO, plus company holidaysComprehensive medical and dental insurancePaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriCompetitive pension scheme and company contributionAnnual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation and company stock options

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🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.📐 About the roleAs an AI engineer at WRITER, you'll be at the forefront of shaping how enterprises harness superintelligence. This isn't just about theory; you'll be building tangible AI solutions that power the future of work for hundreds of the world's leading companies. Your work will directly impact the performance, scalability, and ethical alignment of our cutting-edge LLMs and AI agents, enabling businesses to unlock unprecedented levels of productivity and innovation with AI that is truly grounded in their data.This role can be hybrid in our London hub. You'll report to the head of AI engineering.🦸🏻‍♀️ What you'll doArchitect, develop, and deploy high-performance, scalable AI applications into production environments, ensuring robust integrations with our end-to-end platform.Drive the development of intelligent agents and AI-powered features, translating complex research into practical, impactful solutions for our customers.Collaborate closely with research scientists, data scientists, and product managers to define technical requirements and deliver features that address critical business needs.Contribute to the research and evaluation of emerging AI technologies, frameworks, and tools to maintain WRITER's leadership in the enterprise generative AI space.Champion responsible AI practices, including bias detection, explainability, and safety alignment, making sure our AI is trustworthy and ethical.⭐️ What you need3+ years of professional experience building and deploying machine learning or AI systems in a production environment.Proficiency in Python and experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX.A strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly with large language models.Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for managing the AI lifecycle.Demonstrated ability to write clean, efficient, and well-tested code for scalable software systems.Exceptional problem-solving skills and a passion for tackling complex technical challenges with creative AI solutions.You Connect by collaborating seamlessly across diverse teams, Challenge the status quo to innovate, and Own your projects with a commitment to impact and excellence.🍩 Benefits & perks (UK full-time employees):Generous PTO, plus company holidaysComprehensive medical and dental insurancePaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriCompetitive pension scheme and company contributionAnnual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation and company stock options

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🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.📐 About the roleAre you passionate about ensuring the highest quality for cutting-edge generative AI applications? As a Software quality engineer at WRITER, you'll play a critical role in shaping the reliability, performance, and trustworthiness of our AI-powered work orchestration platform. You’ll be at the forefront of defining and implementing rigorous quality strategies for our enterprise-grade LLMs and AI agents, directly impacting how hundreds of global companies unlock transformational value through AI. This is a unique chance to dive deep into the unique challenges of AI quality assurance and make a tangible difference in a rapidly evolving field.This is a hybrid role based out of our San Francisco or New York City hubs. You will report directly to the director of engineering.🦸🏻‍♀️ What you'll doDefine and implement comprehensive quality assurance strategies and test plans for our AI agents and LLM-powered applications, ensuring exceptional product reliability and performance.Designing and developing automation frameworks: creating robust, scalable, and maintainable automated test frameworks from scratch or enhancing existing ones. You’ll need proficiency in at least one language like Typsecript, Python, or Scala.Collaborate closely with product managers, machine learning engineers, and data scientists to understand complex AI features and model behaviors, translating them into effective test cases and validation criteria.Drive the continuous improvement of our testing processes and infrastructure, integrating automated checks within our CI/CD pipelines to ensure rapid, high-quality releases.Identify, document, and track software defects and inconsistencies, performing root cause analysis to provide actionable feedback to development teams.Monitor production systems and AI model performance, proactively identifying potential issues and contributing to post-release quality validation.Champion quality best practices across engineering teams, fostering a culture of ownership and continuous improvement in delivering world-class AI solutions.⭐️ What you need5+ years of hands-on experience in software quality assurance or engineering, with a strong focus on testing complex distributed systems or AI/ML applications.Proficiency in programming languages like Python or Typescript for test automation, and experience with modern testing frameworks such as Playwright.Solid understanding of AI/ML concepts, including model evaluation metrics, data pipelines, and the unique challenges of testing generative AI outputs.Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) in a CI/CD environment is a big plus.Exceptional analytical skills to dissect complex problems and a keen eye for detail, ensuring no bug goes unnoticed.A collaborative spirit that helps you Connect cross-functional teams to common quality goals, Challenge existing assumptions to build better systems, and Own the end-to-end quality of our products.Demonstrated ability to drive initiatives independently and thrive in a fast-paced, evolving startup environment. 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.📐 About the roleAt WRITER, we're not just building the future of enterprise AI; we're actively orchestrating it. The solutions architect manager plays a pivotal role in this journey, leading a team of exceptional solutions architects who empower our enterprise customers to unlock the full potential of our cutting-edge generative AI platform. You’ll be at the forefront of driving AI transformation, moving beyond theoretical discussions to hands-on deployment and measurable impact. This is your chance to lead, mentor, and inspire a team dedicated to solving complex business challenges with innovative AI solutions, directly influencing customer success and WRITER's rapid growth.This is a full-time, hybrid role based out of our San Francisco hub. You will report directly to the VP of solutions architecture.🦸🏻‍♀️ What you'll doLead and empower a team of highly skilled solutions architects, fostering their technical growth and career development across complex enterprise AI engagementsDrive the successful adoption and deployment of WRITER's generative AI platform by overseeing key pre-sales technical engagements, including use case discovery, proof-of-concept execution, and value realization for strategic customersPartner closely with sales leadership and go-to-market teams to develop strategic account plans, define compelling technical value propositions, and accelerate pipeline growth for WRITER's solutionsAct as an executive technical sponsor for WRITER’s most strategic accounts, building strong relationships with C-level stakeholders and becoming their trusted advisor in AI strategy and implementationInfluence WRITER's product roadmap by gathering critical market insights and customer feedback, ensuring our platform continuously addresses evolving enterprise AI needsArchitect robust, scalable, and secure AI solutions for diverse enterprise environments, integrating WRITER's platform with complex customer data ecosystems and existing technical stacksTransform how we facilitate customer evaluations and proofs of concept, implementing best practices and scalable processes that demonstrate clear ROI and accelerate time-to-value for our clients⭐️ What you needExperience as a seasoned and strategic leader of leaders and have 4+ years of management experience where you have managed other individuals who are collectively responsible for scaling a highly effective pre-sales (solutions architecture) organization.Proven expertise in leading and scaling a solutions architecture or sales engineering organization within a high-growth, fast-paced technology company, ideally blending startup agility with enterprise best practicesDeep technical proficiency in generative AI, large language models (LLMs), machine learning, and cloud-native architectures (AWS, Azure, GCP), coupled with hands-on experience in Python or similar scripting languagesDemonstrated ability to manage complex implementations of AI/ML solutions, understanding data pipelines, model deployment, security, and compliance in diverse, large-scale enterprise environmentsExceptional communication, presentation, and interpersonal skills, capable of translating intricate technical concepts into clear business value for executive and technical audiences, while also mentoring your team to do the sameA strategic mindset, constantly looking for opportunities to innovate, optimize processes, and drive measurable impact across customer engagements and internal team operationsA passionate commitment to our values at WRITER: Connect, by building strong relationships with customers and colleagues; Challenge, by pushing boundaries and fostering continuous improvement; and Own, by taking responsibility for results and driving them to completion 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.📐 About the roleEvery company grows differently, and at WRITER, our growth is directly tied to empowering our users to create better content, faster, and at an unprecedented scale. As a strategic solutions architect, you'll be at the forefront of this mission, working directly with our largest and most strategic prospects to identify, validate, and build innovative generative AI solutions that unlock massive business value. This isn't just about selling a product; it's about deeply understanding complex enterprise needs and architecting a future where AI transforms how our customers operate. You'll be instrumental in shaping how the world's leading companies adopt and scale AI, making a tangible impact on both their success and WRITER’s continued leadership in the enterprise generative AI space.This is a full-time, hybrid role based out of our San Francisco hub. You will report directly to the VP of solutions architecture.🦸🏻‍♀️ What you'll doDrive strategic technical discovery with Fortune 500 prospects and customers, translating complex business challenges into clear, impactful technical solutions for AI-powered workArchitect and design robust, scalable, and secure generative AI solutions for enterprise clients, leveraging WRITER's platform, APIs, and custom applications to solve critical business problemsLead the development and execution of compelling proofs of concept (PoCs) and demonstrations, building custom templates and integrating WRITER's capabilities to showcase transformative value and accelerate time-to-value for customersServe as a trusted technical advisor to C-suite executives, VPs of Engineering, and AI leaders, guiding their generative AI strategy and collaborating to define enterprise-level architecture roadmapsPartner closely with WRITER's Product and Engineering teams, providing critical feedback from customer engagements to influence our product roadmap and ensure our solutions meet evolving market needsChampion the adoption of WRITER's platform and APIs, educating prospects and partners on the art of the possible with generative AI and empowering them to build their own innovative solutions.⭐️ What you need5+ years of experience in technical customer-facing roles such as solutions architect, enterprise architect, or sales engineering, ideally within a high-growth, B2B SaaS company serving Fortune 500 clientsDeep expertise in generative AI principles, large language models (LLMs), and prompt engineering best practices, with a passion for staying ahead of the curve in this rapidly evolving fieldProficiency in Python for building out WRITER Framework solutions and extensive experience with APIs, microservices, and cloud AI platforms (e.g., Azure AI, AWS SageMaker) to integrate AI capabilities into complex enterprise systemsExceptional communication and presentation skills, able to simplify complex technical concepts into clear, compelling business language for diverse audiences, from technical teams to executive leadershipA highly versatile and tenured problem solver, capable of leading multi-stakeholder discovery sessions, uncovering root causes, and architecting innovative solutions to complex business and technical challengesA builder's mindset and a proven ability to Connect deeply with customer needs, Challenge the status quo with innovative AI solutions, and Own the technical success and impact of client engagements 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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Conversica is seeking a Staff AI Software Engineer to design, build, and scale production-grade AI systems that deliver direct customer and business value. This senior individual contributor role emphasizes pragmatic, product-focused, customer-driven thinking, with a focus on translating real-world problems into reliable, maintainable, and scalable AI-driven solutions. This role operates with a high degree of autonomy and technical influence, shaping AI and systems architecture, engineering standards, and best practices across the organization.Key ResponsibilitiesDesign, implement, and ship AI-driven features and systems into production environmentsOwn technical decision-making for AI architecture, data modeling, and system integrationPartner closely with Product, Engineering, and other stakeholders to translate business needs into scalable technical solutionsIdentify and address reliability, scalability, performance, and observability challenges in AI systemsEstablish and evolve best practices for applied AI engineering, including agent evaluation, interpretability, and reliability, data layer design, monitoring, explainability, and continuous improvementMentor and guide other engineers, raising the bar on AI engineering quality and decision-makingContribute to technical strategy and roadmap discussions related to AI capabilities and overall platform evolutionWhat You’ll BuildAgentic system design: orchestration, tool use, state/memory, multi-step workflowsEvals + quality: harnesses, regression tests for prompts/agents, online/offline metrics, iteration loopsGuardrails: hallucination mitigation, grounding, HITL review, safe degradation pathsProduction operations: cost/latency tradeoffs, caching, rate-limits, fallbacks, observability, incident responseRetrieval + data foundations: RAG choices, indexing, freshness, data quality constraints, data layer designQualification & ExperienceEquivalent of 8+ years of professional software engineering experience, with significant focus on applied AI.Proven experience deploying LLM-powered systems/applications in production environmentsStrong proficiency in Python, and experience building production LLM applications (agents/tool use, retrieval, evals, monitoring)Experience working with large datasets and navigating real-world data quality challengesStrong system design, problem-solving, and architectural decision-making skillsExperience designing agent architectures, tool interfaces, and orchestration patternsDesire to continually follow and experiment with cutting edge AI technologies and tooling for use across all phases of the software development lifecycle (i.e. during design, analysis, coding, deployment, QA, etc.)Strong background in modern cloud-based architectures.Preferred / Nice-to-Have ExperienceExperience applying AI solutions in a B2B SaaS environmentExperience interacting with data from Marketing Automation Platforms (MAPs), Customer Resource Management Systems (CRMs), and Customer Data Platforms (CDPs)Experience deploying AWS infrastructure, and production use of Terraform, EKS, Postgres, MySQL, Datadog, and GitLabWhat We ValueWe care about what you’ve built, not where you learned it. If you’ve shipped strong software, led technical decisions under ambiguity, contributed to open source, written thoughtful technical work, or built impressive projects with modern LLM tooling - put that front and center. Show us what you've built, what problems you've wrestled with, and how you reason about tradeoffs in systems that combine LLMs with real-world constraints.Conversica is a remote-first company building AI-powered solutions that help businesses engage customers more effectively. You’ll work alongside thoughtful product and engineering partners, influence the direction of applied AI across the platform, and help turn emerging AI capabilities into durable, customer-ready systems. This is a full-time, exempt position. Our compensation reflects the cost of labor across several U.S. geographic markets and is based on role scope, experience, and job-related skills. Conversica offers comprehensive health, dental, and vision benefits, PTO, holiday pay, 401(k), and equity.

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Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI. Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.   About the role: We are seeking curious, detail-oriented students to join our AI Delivery team as AI Quality Assurance Interns. This is a hands-on role where you will evaluate the behavior, accuracy, and reliability of Cresta’s AI Agents and Agent Assist systems. Unlike traditional QA, this work sits at the intersection of: AI behavior analysis Intent recognition evaluation Conversation quality assessment Model output auditing Light prompt testing and refinement Responsibilities: You will help ensure our AI systems act as intended, follow correct business logic, and provide accurate and safe outputs to end users.   As an AI Quality Assurance Intern, you will: Execute structured test plans for AI Agent implementations Validate that intents, entities, and workflows trigger correctly Identify behavioral inconsistencies, misclassifications, or hallucinations Review and validate AI-generated suggestions, summaries, and classifications Provide actionable feedback to improve intent models and redaction/PII handling Run bias, redaction, and transcription accuracy checks Spot patterns or emerging issues across test sets Contribute ideas for improving internal QA processes and tools Qualifications We Value: This is an excellent fit for students interested in: AI/ML, NLP, or chatbots Product quality and user experience Linguistics, conversation analysis, or human–AI interaction Exploring a career in AI evaluation, AI ops, or product QA No advanced ML experience is required — just strong analytical thinking and curiosity about how intelligent systems behave. Perks & Benefits: $30-$50 per hour subject to taxes Lunch can be expensed (up to $25) while working in the office. PT0: 4 days This posting will be used to fill a newly-created role. We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.com.

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Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI. Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.   About the role: We are seeking curious, detail-oriented students to join our AI Delivery team as AI Quality Assurance Interns. This is a hands-on role where you will evaluate the behavior, accuracy, and reliability of Cresta’s AI Agents and Agent Assist systems. Unlike traditional QA, this work sits at the intersection of: AI behavior analysis Intent recognition evaluation Conversation quality assessment Model output auditing Light prompt testing and refinement Responsibilities: You will help ensure our AI systems act as intended, follow correct business logic, and provide accurate and safe outputs to end users.   As an AI Quality Assurance Intern, you will: Execute structured test plans for AI Agent implementations Validate that intents, entities, and workflows trigger correctly Identify behavioral inconsistencies, misclassifications, or hallucinations Review and validate AI-generated suggestions, summaries, and classifications Provide actionable feedback to improve intent models and redaction/PII handling Run bias, redaction, and transcription accuracy checks Spot patterns or emerging issues across test sets Contribute ideas for improving internal QA processes and tools Qualifications We Value: This is an excellent fit for students interested in: AI/ML, NLP, or chatbots Product quality and user experience Linguistics, conversation analysis, or human–AI interaction Exploring a career in AI evaluation, AI ops, or product QA No advanced ML experience is required — just strong analytical thinking and curiosity about how intelligent systems behave. Perks & Benefits: $30-$50 per hour subject to taxes Lunch can be expensed (up to $25) while working in the office. PT0: 4 days This posting will be used to fill a newly-created role. We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.com.

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We are building a world-class, AI-driven B2B analytics SaaS. Built from scratch as a core product, it defines a new generation of marketing analytics within Tesonet Group. You’ll join while core architecture, data flows, and engineering principles are actively being designed, with the opportunity to take real ownership and shape how the product is built and how teams collaborate. The platform is built around intelligent automation, real-time data processing, ML modeling, and large-scale distributed systems, with AI deeply embedded at its core. By working with complex data, we deliver a powerful self-service analytics experience that enables faster, smarter marketing decisions.We are looking for a Data Integration Lead to join our team and lead a team of 5–6 engineers, ensuring that all services, platforms and teams within our SaaS product are reflected in accurate, up-to-date scorecards that provide actionable insights and support continuous improvement. Main ResponsibilitiesBuild and maintain reliable processes to keep platform and service inventory data accurate and up-to-date.Provide technical leadership and mentorship, guiding engineers through complex system design decisions and driving technical excellence.Architect and implement a self-improving and self-healing data processing model, large-scale, reliable data pipelines and AI/ML-enabled systems ensuring high performance, scalability, and data quality.Lead the development of data warehousing and analytics solutions (e.g. BigQuery, Snowflake or similar).Collaborate with stakeholders to translate business needs into scalable data and ML solutions, operating effectively in a fast-paced environment.Evangelize scorecard usage across the organization via workshops, manuals, and internal communications.Core Requirements5+ years of experience in data engineering, AI/ML engineering, or closely related roles, with a strong background in large-scale data systems.Expert-level Python skills and solid SQL knowledge, including data pipeline development and database performance optimization.Proven experience designing and building scalable, reliable, and maintainable data and ML systems.Strong understanding of software engineering best practices, including system design, testing, deployment, and data management.Experience leading technical initiatives, mentoring engineers, and providing technical guidance across teams.Excellent communication and collaboration skills, with the ability to work in a fast-paced environment and align technical solutions with business needs.Experience in leading remote engineering teams is a plus.SalaryMonthly gross salary is 5500 - 8200 eur/monthWe are open to discussing a different salary based on your skills, experience, and potential impact.This position is eligible for a stock option plan which will be discussed during the final steps of the process.What We Offer • Professional growth. Internal and external events, online training, conferences, books - everything you need to reach full potential.• Health benefits. Private health insurance, online and on-site workouts, consultations to feel and be your best.• Team spirit. Team buildings and parties with games, shows, tastings, food coupons, gifts, and it’s on us.• More free time. Stay with us and additional vacation days will be added to your calendar.• Additional paid leave. Additional days are covered by us in cases of illness or special occasions.• Flexibility. Flexible working time arrangement. View our guidelines for AI usage during hiring process: AI guidelines

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We are building a world-class, AI-driven B2B analytics SaaS. Built from scratch as a core product, it defines a new generation of marketing analytics within Tesonet Group. You’ll join while core architecture, data flows, and engineering principles are actively being designed, with the opportunity to take real ownership and shape how the product is built and how teams collaborate. The platform is built around intelligent automation, real-time data processing, ML modeling, and large-scale distributed systems, with AI deeply embedded at its core. By working with complex data, we deliver a powerful self-service analytics experience that enables faster, smarter marketing decisions.Main ResponsibilitiesBuild and improve systems that collect, normalize, and store data from external services and APIs.Design robust integrations with third-party APIs and LLMs, handling errors, rate limits, retries, and evolving interfaces.Explore responsible automated browser interactions or scraping.Automate scheduled collection workflows and make sure they run reliably every day with good observability and alerting.Collaborate with engineering peers on design, architecture, reviews, and shared tooling.Core RequirementsStrong Python backend experience, especially for integrations and automation.Hands-on experience with RESTful APIs, LLMs or AI frameworks (e.g. LiteLLM, Langchain, OpenAI/Anthropic/Gemini APIs) and external system integration.Comfortable experimenting, troubleshooting, and tackling unfamiliar problems with curiosity and initiative.Experience with workflow scheduling/orchestration frameworks (e.g., Dagster) and reliable automation.Familiarity with Docker, Kubernetes, Git and modern CI/CD practices.Nice to have: experience with web scraping/browser automation tools (e.g., Selenium, Playwright) and observability tools (e.g., Prometheus, Grafana).SalaryMonthly gross salary is 4400 - 7000 eur/month.We are open to discussing a different salary based on your skills, experience, and potential impact.What We Offer • Professional growth. Internal and external events, online training, conferences, books - everything you need to reach full potential.• Health benefits. Private health insurance, online and on-site workouts, consultations to feel and be your best.• Team spirit. Team buildings and parties with games, shows, tastings, food coupons, gifts, and it’s on us.• More free time. Stay with us and additional vacation days will be added to your calendar.• Additional paid leave. Additional days are covered by us in cases of illness or special occasions.• Flexibility. Flexible working time arrangement. View our guidelines for AI usage during hiring process: AI guidelines

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We are building a world-class, AI-driven B2B analytics SaaS. Built from scratch as a core product, it defines a new generation of marketing analytics within Tesonet Group. You’ll join while core architecture, data flows, and engineering principles are actively being designed, with the opportunity to take real ownership and shape how the product is built and how teams collaborate. The platform is built around intelligent automation, real-time data processing, ML modeling, and large-scale distributed systems, with AI deeply embedded at its core. By working with complex data, we deliver a powerful self-service analytics experience that enables faster, smarter marketing decisions.Main ResponsibilitiesBuild and shape tomorrow’s AI-based application, ensure scalable data and AI pipelines.Play with cutting-edge AI tech, prototyping and experimenting with LLMs (APIs, RAG, embeddings, etc.) to elevate accuracy, insight quality, and product impact.Turn data into value by preparing, transforming, and managing datasets that power models, features and production systems.Work closely with different teams to get things done together, partnering with product, data science and engineering to uncover smart AI opportunities and launch them into real use.Fine-tune our systems and existing LLMs for excellence, create and optimize prompts, workflows, and model interactions for performance and reliability.Own quality and scale by ensuring observability, robustness, and smooth operation across distributed data + AI systems.Core RequirementsProven experience writing clean, reliable Python code for data processing, automation, and transformation.Strong understanding of data engineering fundamentals: ETL/ELT workflows, orchestrating jobs (e.g., Airflow), building and querying data warehouses (e.g., BigQuery), using version control, CI/CD and Docker containers effectively.Optional experience training your own machine learning models using frameworks such as TensorFlow, PyTorch, scikit-learn, Keras or similar tools. Optional experience in fine-tuning existing LLM models.Comfort working across data plumbing and AI/model workflows, with the ability to switch between the two effectively.Familiarity with tools like dbt, Kafka or other streaming systems and observability tooling (logs, metrics, tracing) is a plus.A curious, fast-moving mindset with the ability to prototype quickly, learn new tech fast, and share knowledge with others.SalaryMonthly gross salary is 4500 - 7100 eur/month.We are open to discussing a different salary based on your skills, experience, and potential impact.What We Offer • Professional growth. Internal and external events, online training, conferences, books - everything you need to reach full potential.• Health benefits. Private health insurance, online and on-site workouts, consultations to feel and be your best.• Team spirit. Team buildings and parties with games, shows, tastings, food coupons, gifts, and it’s on us.• More free time. Stay with us and additional vacation days will be added to your calendar.• Additional paid leave. Additional days are covered by us in cases of illness or special occasions.• Flexibility. Flexible working time arrangement. View our guidelines for AI usage during hiring process: AI guidelines