Top Software Engineer Jobs Openings in 2025

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A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where backend systems are not glue - they are the control plane that connects models, data, users, and product experiences.This is a founding backend role. You will design and build the systems that orchestrate models, manage prompts and evaluation, and power every AI interaction users experience - under real-world constraints like latency, cost, failures, and scale.Why This Role MattersYou power every AI interaction users experienceYou shape how models are orchestrated, evaluated, and improvedYou directly affect cost, latency, and reliabilityYou build real production AI infrastructureWhat You’ll DoDesign and implement backend services for AI-powered appsIntegrate LLMs, vision, speech, and other modelsBuild orchestration pipelines (agents, tools, workflows)Implement prompt management and versioningBuild evaluation, logging, and feedback systemsDesign scalable APIs for mobile and web clientsHandle retries, caching, rate limits, and fallbacksEnsure security, privacy, and cost controlRequirements4+ years backend engineering experienceHands-on AI model integration experienceStrong proficiency in Python, Node.js, or GoExperience designing REST/gRPC APIsUnderstanding of AI latency and cost tradeoffsNice to HaveBuilt AI systems used in productionExperience with RAG, vector DBs, or agent frameworksDesigned evaluation or monitoring systemsOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where backend systems are not glue - they are the control plane that connects models, data, users, and product experiences.This is a founding backend role. You will design and build the systems that orchestrate models, manage prompts and evaluation, and power every AI interaction users experience - under real-world constraints like latency, cost, failures, and scale.Why This Role MattersYou power every AI interaction users experienceYou shape how models are orchestrated, evaluated, and improvedYou directly affect cost, latency, and reliabilityYou build real production AI infrastructureWhat You’ll DoDesign and implement backend services for AI-powered appsIntegrate LLMs, vision, speech, and other modelsBuild orchestration pipelines (agents, tools, workflows)Implement prompt management and versioningBuild evaluation, logging, and feedback systemsDesign scalable APIs for mobile and web clientsHandle retries, caching, rate limits, and fallbacksEnsure security, privacy, and cost controlRequirements4+ years backend engineering experienceHands-on AI model integration experienceStrong proficiency in Python, Node.js, or GoExperience designing REST/gRPC APIsUnderstanding of AI latency and cost tradeoffsNice to HaveBuilt AI systems used in productionExperience with RAG, vector DBs, or agent frameworksDesigned evaluation or monitoring systemsOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where backend systems are not glue - they are the control plane that connects models, data, users, and product experiences.This is a founding backend role. You will design and build the systems that orchestrate models, manage prompts and evaluation, and power every AI interaction users experience - under real-world constraints like latency, cost, failures, and scale.Why This Role MattersYou power every AI interaction users experienceYou shape how models are orchestrated, evaluated, and improvedYou directly affect cost, latency, and reliabilityYou build real production AI infrastructureWhat You’ll DoDesign and implement backend services for AI-powered appsIntegrate LLMs, vision, speech, and other modelsBuild orchestration pipelines (agents, tools, workflows)Implement prompt management and versioningBuild evaluation, logging, and feedback systemsDesign scalable APIs for mobile and web clientsHandle retries, caching, rate limits, and fallbacksEnsure security, privacy, and cost controlRequirements4+ years backend engineering experienceHands-on AI model integration experienceStrong proficiency in Python, Node.js, or GoExperience designing REST/gRPC APIsUnderstanding of AI latency and cost tradeoffsNice to HaveBuilt AI systems used in productionExperience with RAG, vector DBs, or agent frameworksDesigned evaluation or monitoring systemsOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where backend systems are not glue - they are the control plane that connects models, data, users, and product experiences.This is a founding backend role. You will design and build the systems that orchestrate models, manage prompts and evaluation, and power every AI interaction users experience - under real-world constraints like latency, cost, failures, and scale.Why This Role MattersYou power every AI interaction users experienceYou shape how models are orchestrated, evaluated, and improvedYou directly affect cost, latency, and reliabilityYou build real production AI infrastructureWhat You’ll DoDesign and implement backend services for AI-powered appsIntegrate LLMs, vision, speech, and other modelsBuild orchestration pipelines (agents, tools, workflows)Implement prompt management and versioningBuild evaluation, logging, and feedback systemsDesign scalable APIs for mobile and web clientsHandle retries, caching, rate limits, and fallbacksEnsure security, privacy, and cost controlRequirements4+ years backend engineering experienceHands-on AI model integration experienceStrong proficiency in Python, Node.js, or GoExperience designing REST/gRPC APIsUnderstanding of AI latency and cost tradeoffsNice to HaveBuilt AI systems used in productionExperience with RAG, vector DBs, or agent frameworksDesigned evaluation or monitoring systemsOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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About Broccoli AIBroccoli is building the AI operating system for the $500B home services market. We deploy intelligent AI agents at the front lines of HVAC, roofing, and other trades businesses to answer calls, engage customers, book jobs, and ensure every lead is captured.Backed by top VCs, we closed a $25M Series A and are scaling fast. We work with leading PE-backed home services platforms and plan to 5x headcount in 2026, creating a rare opportunity to join early and have outsized impact.Why Join UsMake an Impact Early: Launch real features within your first few weeks that get used by real businesses.Define a Category: Help shape how AI employees run the $600B home services market.Speed Matters: We move fast—shipping in weeks, not quarters.Grow with the Best: Learn directly from experienced founders and engineers who’ve built and scaled successful startups before.Collaborative, High-Energy Environment: Work in-office with a small, mission-driven team building world-class AI.What You’ll DoBuild and maintain components of our AI agent platform, internal tools, and backend systemsDevelop and test APIs and integrations with external platforms like ServiceTitanParticipate in the full product cycle: idea → prototype → productionImprove agent intelligence and voice performance in real timeCollaborate with senior engineers to deliver high-impact features and maintain code qualityWhat We’re Looking For1+ year of experience as a software engineer (backend, frontend, or full-stack)Strong understanding of software fundamentals (data structures, APIs, version control, etc.)Excitement to learn fast and contribute across the stackThrive in a fast-paced, startup-like environment where ownership and initiative matterExcellent communication and teamwork skillsBonus Points If You Have:Experience with AI tools, real-time systems, or telephonyExposure to frameworks like Node.js, Python, or TypeScriptFamiliarity with LLMs or interest in AI developmentPerksTop-of-market salary + meaningful equityBuild cutting-edge AI that helps real people dailyBeautiful office in South Park, San FranciscoHigh-trust, ambitious team, led by repeat foundersOn-site collaboration 6 days/week—we believe the best ideas happen in person

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About BroccoliBroccoli is building the AI operating system for the $500B home services market. We deploy intelligent AI agents at the front lines of HVAC, roofing, and other trades businesses to answer calls, engage customers, book jobs, and ensure every lead is captured.Backed by top VCs, we closed a $27M Series A and are scaling fast. We work with leading PE-backed home services platforms and plan to 5x headcount in 2026, creating a rare opportunity to join early and have outsized impact.Why Join BroccoliAs a Staff Engineer, you’ll play a critical role in shaping the technical foundation of Broccoli AI. You’ll own core systems, influence architectural decisions, and help define how we build and ship at scale.Immediate Impact: Your work goes directly into production and affects hundreds of customersCategory Creation: Help define a new class of AI-powered employees in a massive marketSpeed & Ownership: Small team, fast feedback loops, and real decision-making powerFounder Collaboration: Work directly with repeat founders on product and technical directionWhat You’ll DoDesign, build, and scale backend systems and internal tooling for our AI agent platformOwn critical APIs and integrations with systems like ServiceTitanLead complex features end-to-end, from early design through production rolloutImprove real-time voice performance, reliability, and AI agent intelligenceMentor engineers and help establish best practices across the teamBalance speed and quality while scaling systems that handle live customer trafficWhat We’re Looking For7+ years of experience in backend or full-stack engineeringStrong system design and architectural judgmentExperience shipping and operating production systems at scaleComfortable in high-growth, ambiguous startup environmentsOwnership mindset and a bias toward executionWhy BroccoliProven Momentum: $7M ARR and rapidly scalingElite Backing: $27M raised, Series A led by Khosla VenturesMeaningful Equity: Ownership aligned with impactReal-World AI: Build systems that run businesses, not experimentsSouth Park Office: Work in-person with a high-trust, ambitious team

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About BroccoliBroccoli is building the AI operating system for the $500B home services market. We deploy intelligent AI agents at the front lines of HVAC, roofing, and other trades businesses to answer calls, engage customers, book jobs, and ensure every lead is captured.Backed by top VCs, we closed a $27M Series A and are scaling fast. We work with leading PE-backed home services platforms and plan to 5x headcount in 2026, creating a rare opportunity to join early and have outsized impact.Why Join BroccoliMake an Immediate Impact: You’ll ship production features used by real customers within your first few weeksCategory-Defining Work: Help shape how AI employees operate in the $600B home services marketMove Fast: We ship in weeks, not quarters—speed and execution matter hereHigh Ownership: Small team, high trust, and direct collaboration with foundersReal-World Scale: Build systems that handle live voice traffic, real revenue, and operational complexityWhat You’ll DoBuild and scale our AI agent platform, backend services, and internal toolingDesign and develop APIs and deep integrations with platforms like ServiceTitanOwn full product features end-to-end—from idea and design to production and iterationImprove agent intelligence, reliability, and real-time voice performanceWork closely with Product, Customer Success, and Sales to ship high-impact featuresHelp evolve our infrastructure as we scale usage, customers, and revenue What We’re Looking For4-8 years of experience in backend or full-stack software engineeringStrong engineering fundamentals and product intuitionComfortable working in fast-paced, ambiguous startup environmentsExperience building and operating production systems and APIsOwnership mindset—you care deeply about what you ship and how it performs Why BroccoliProven Momentum: $7M ARR today, scaling quicklyElite Backing: $27M raised, Series A led by Khosla VenturesMeaningful Ownership: Equity that reflects real impactCustomer-Driven Engineering: What you build directly affects how customers operateBeautiful South Park Office: Work in-person with a tight-knit, ambitious team

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About BroccoliBroccoli is building the AI operating system for the $500B home services market. We deploy intelligent AI agents at the front lines of HVAC, roofing, and other trades businesses to answer calls, engage customers, book jobs, and ensure every lead is captured.Backed by top VCs, we closed a $27M Series A and are scaling fast. We work with leading PE-backed home services platforms and plan to 5x headcount in 2026, creating a rare opportunity to join early and have outsized impact.Why Join BroccoliMake an Immediate Impact: You’ll ship production features used by real customers within your first few weeksCategory-Defining Work: Help shape how AI employees operate in the $600B home services marketMove Fast: We ship in weeks, not quarters—speed and execution matter hereHigh Ownership: Small team, high trust, and direct collaboration with foundersReal-World Scale: Build systems that handle live voice traffic, real revenue, and operational complexityWhat You’ll DoBuild and scale our AI agent platform, backend services, and internal toolingDesign and develop APIs and deep integrations with platforms like ServiceTitanOwn full product features end-to-end—from idea and design to production and iterationImprove agent intelligence, reliability, and real-time voice performanceWork closely with Product, Customer Success, and Sales to ship high-impact featuresHelp evolve our infrastructure as we scale usage, customers, and revenue What We’re Looking For2–5 years of experience in backend or full-stack software engineeringStrong engineering fundamentals and product intuitionComfortable working in fast-paced, ambiguous startup environmentsExperience building and operating production systems and APIsOwnership mindset—you care deeply about what you ship and how it performs Why BroccoliProven Momentum: $7M ARR today, scaling quicklyElite Backing: $27M raised, Series A led by Khosla VenturesMeaningful Ownership: Equity that reflects real impactCustomer-Driven Engineering: What you build directly affects how customers operateBeautiful South Park Office: Work in-person with a tight-knit, ambitious team

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About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.Note: The nature of this role requires candidates to be based in the Buenos Aires area, though there isn't an in-office requirement. The Opportunity We’re looking for an Application Engineer who thrives on solving hard problems with code. In this role, you'll have the opportunity to work at the cutting edge of generative AI in a high-impact role with autonomy and ownership. What You’ll Do Debug and fix issues in our platform (and ship PRs with your fixes). Build internal tools and copilots powered by generative AI to supercharge our team. Rapidly prototype proof-of-concepts for customer use cases. Work across Engineering, Product, and Solutions to unblock customers and push the boundaries of AI adoption. What We’re Looking For You have 2-5 years of experience in software. Strong in Python and Golang; comfortable shipping fixes in production systems. Hands-on with generative AI (LLM APIs, frameworks, building copilots or automations) Hands-on with OpenTelimetry and deep familiarity with distributed tracing concepts. Familiarity with AI frameworks (CrewAI, Langchain, Langgraph, DiFy, LiteLLM, etc). Familiarity or eagerness to learn JavaScript/TypeScript. Great debugger, creative problem solver, and fast learner. Independent and resourceful. You create solutions, not dependencies. Bonus Points (but not required!) Experience in a customer-facing role Built copilots, plugins, or custom GenAI-powered applications. Open-sourced or contributed PRs to real codebases. Startup or fast-moving environment experience. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes unlimited paid time off, generous parental leave plan, and others for mental and wellness support.More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 700+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewAs a Backend Platform Engineer at Harvey, you will help build and operate the cohesive backend platform that all our services run on. In this mid-to-senior level role, you’ll design and implement shared frameworks and libraries that abstract common concerns, improve developer experience, and raise the baseline for reliability and performance across all teams. Your mission aligns with our platform charter: create “a shared foundation that enables product teams to ship reliable, observable, and performant experiences quickly and safely.” By centralizing common work, you’ll let product engineers focus on shipping features rather than re-inventing the wheel. This is a high-impact role where the code you write and the systems you build will amplify the productivity and quality of engineering across the entire company.If you’re excited about building foundational systems, solving cross-cutting technical challenges, and enabling others to move faster with confidence, we’d love to hear from you.What You'll DoDevelop and maintain Harvey’s internal backend frameworks and libraries that provide common capabilities (API routing, service lifecycle management, caching and messaging primitives, error handling interfaces, etc.), so product teams don’t have to reinvent themCreate and improve APIs, service templates, and versioned interfaces that establish consistent patterns for building new services and featuresIntroduce and champion modern backend architecture patterns like asynchronous I/O (asyncio) and streaming data processing, continually evolving our platform for better performance and scalabilityDesign Harvey-specific abstractions and domain-specific frameworks—covering cross-cutting concerns (e.g., authorization, streaming) and areas like data governance and event processing—to provide product engineers with these capabilities out of the box.Embed reliability and observability into the platform by building in tracing, metrics, and automated tests (shift-left), ensuring services built on our foundation are robust and easy to monitorCollaborate with Model Infrastructure team to tackle challenges unique to GenAI-native applications — such as supporting high-throughput model inference, managing streaming and long-running API interactions, and designing abstractions for retrieval, context handling, and prompt lifecycleCollaborate with the Developer Experience and Infrastructure teams (who own CI/CD pipelines, build tools, and release infrastructure) to integrate our platform components seamlessly into the deployment and monitoring ecosystemWork closely with product engineering teams to gather feedback, evangelize best practices, and make the “paved road” approach a reality — providing strong defaults and clear documentation so teams can move fast with confidenceWhat You Have5+ years of software engineering experience (post-BS/MS), including building scalable backend systems or internal developer platformsProficiency in Python (or similar languages) and deep knowledge of backend development fundamentals (APIs, data stores, concurrency, distributed systems)Hands-on experience with web frameworks and service architectures (e.g. Flask/FastAPI, Bounded context services, microservices) and an understanding of designing clean, versioned APIsFamiliarity with caching, messaging, and database technologies (Redis, Kafka, SQL/NoSQL databases, Vector databases, etc.) and how to use them effectively for high performance and reliabilityA track record of writing high-quality, well-tested code and using tools (unit/integration testing, static typing, CI) to catch issues early and ensure reliabilityStrong problem-solving skills and a passion for improving developer experience — you enjoy creating tools or frameworks that make other engineers more productiveExcellent collaboration and communication skills, with the ability to work across teams and incorporate feedback.Experience contributing to or maintaining internal libraries/frameworks is a plus.Compensation Range$200,000 - $260,000 USDPlease find our CA applicant privacy notice here.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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About LMArenaLMArena is the open platform for evaluating how AI models perform in the real world. Created by researchers from UC Berkeley’s SkyLab, our mission is to measure and advance the frontier of AI for real-world use. Millions of people use LMArena each month to explore how frontier systems perform — and we use our community’s feedback to build transparent, rigorous, and human-centered model evaluations. Leading enterprises and AI labs rely on our evaluations to understand real-world reliability, alignment, and impact. Our leaderboards are the gold standard for AI performance — trusted by leaders across the AI community and shaping the global conversation on model reliability and progress. We’re a team of researchers, engineers, academics, and builders from places like UC Berkeley, Google, Stanford, DeepMind, and Discord. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We’re building a company where thoughtful, curious people from all backgrounds can do their best work. Everyone on our team is a deep expert in their field — our office radiates excellence, energy, and focus.About the RoleLMArena is seeking a Senior Software Engineer (Infrastructure) to lead the design and development of scalable, high-performance real-time data and API infrastructure. In this role, you’ll architect systems that capture and process large volumes of serving requests in real time, powering the insights that help researchers and developers build the world’s most advanced AI and its applications. Your work will be foundational to how we surface trustworthy, transparent, and timely evaluation signals across the platform. This role is ideal for someone who thrives in fast-moving environments, cares deeply about performance and reliability, and wants to build systems that help the AI community better understand what models are the best for their real-world use cases.You’llArchitect and scale high-performance, real-time API and data systemsDesign and implement low-latency pipelines to process and analyze large-scale event streamsEnsure reliability through robust data integrity, availability, and consistency mechanismsMentor and guide engineers on infrastructure best practices, architecture, and performance tuningCollaborate cross-functionally with AI researchers, product leaders, and engineers to anticipate evolving infrastructure needs and deliver resilient, extensible systemsYou’ll have5+ years of experience in software engineering, with a focus on infrastructure or large-scale data and ML systemsDeep expertise in distributed systems, stream processing, and scalable backend architectureProven ability to design and operate low-latency, high-throughput, and fault-tolerant systemsStrong foundation in systems design, performance tuning, and building reliable, fault-tolerant servicesComfortable in a dynamic, high-ownership, fast-growth environmentWhat we offerWe offer competitive compensation and equity aligned to the markets where our team members are based. The base salary range will depend on the candidate’s permanent work location.Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.The opportunity to work on cutting-edge AI with a small, mission-driven teamA culture that values transparency, trust, and community impactCome help build the space where anyone can explore and help shape the future of AI.LMArena provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

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About the TeamThe Platform Team at OpenAI owns the foundational data and processing stack powering the OpenAI API and products built on top of it. We innovate on the infrastructure needed to serve the latest models and agentic workflows at an unprecedented pace of growth and scale with high performance and reliability. Join us to build and operate the core platform that underpins OpenAI’s products and allows our customers to deploy AI themselves.About the RoleThis role is centered on designing and deploying services and infrastructure that empower our models and agents to generate insights and execute tasks, all grounded in authorized data sources and internal systems. You’ll help define the most effective data access patterns to unlock higher model accuracy and task performance. You will own the full lifecycle of your work—from architecture and implementation to production operations and on-call responsibilities.Success in this role requires a solid understanding of enterprise data management fundamentals, including security, identity and access, performance, and reliability.In this role, you will:Design, build, and maintain infrastructure and networking systems that connect structured and unstructured data to LLMs in a performant and reliable manner.Design, build, and maintain secure and compliant systems to process sensitive and valuable data.Ensure our platform can support use cases at the scale of large enterprise customers, while remaining reliable and efficient.Integrate data access and authentication with our production model and agent systems.Collaborate with product, research and forward-deployed engineering teams to fill in the full picture on how to deploy production systems and achieve world-class results on overall task capabilities.Own the reliability of the systems you build, including participation in an on-call rotation for critical incidentsYou might thrive in this role if you:Have expertise in deploying, configuring, and operating software systems within customer-managed infrastructure and networks.Are excited to bring the power of AGI to the infrastructure the world runs on todayAre comfortable with ambiguity and rapid changeHave an intrinsic desire to learn and fill in missing skills, and an equally strong talent for sharing learnings clearly and concisely with othersAbout 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 Kerry CareKerry Care is a US-based healthcare technology startup building AI-powered systems to improve senior care delivery. We're early stage, mission-driven, and moving fast to solve real problems in how care is coordinated and delivered.We are looking to hire our Senior Technical Lead — the person who will own our technical architecture and set the engineering standard for the company.You'll be working with two other developers, but you are the senior engineer. You'll make the key technical decisions, build the core systems, and establish how we build software. This is not a management role — you'll be hands-on, writing code daily, and leading through technical excellence.This is a startup. That means ambiguity, pressure, direct access to founders, and real responsibility. You'll need to be highly driven and deeply interested in either AI systems, senior care technology, or both. It's a demanding role, but you'll work with smart people who care about the mission and you'll get direct exposure to how US startups actually operate.What You’ll DoOwn the technical architecture — backend, frontend, infrastructure, and AI integrationWrite code daily — build the critical systems yourselfMake stack and design decisions that will shape the product for yearsSet the standard for code quality, testing, and engineering disciplineIntegrate LLMs and AI workflows deeply into the platformWork directly with founders on product direction and technical roadmapCreate clarity and structure in an environment that doesn't have perfect specsMentor and guide the other developers technicallyMust-Have SkillsStrong TypeScript — you've built production systems with itDeep Node.js backend experienceSolid React frontend experienceProduction-grade real-time voice and telephony systemsSQL and database design — you know how to model data properlyExperience with TypeORM, Zod, or similar toolsAbility to reason about full-stack architectureExperience building with or integrating LLMs and AI systemsStrong engineering fundamentals — clean code, maintainability, system designBonus SkillsExperience at early-stage startupsDevOps and infrastructure experienceBackground in conversational AI or workflow automationWhy Join Kerry Care?Direct impact on senior care and patient outcomesTechnical ownership from day one — your decisions matterWork closely with founders and shape company directionReal exposure to US startup culture and executionSmall team, high responsibility, meaningful workAmbitious, driven teammates who care about what we're buildingInterview ProcessSilver screening Interview.Silver Technical Interview.Silver Coderbyte Quizz.Client Screening Interview.Client Live coding Interview.Client Technical interview.Client Behavioral Interview.This role is hard. It requires drive, ownership, and comfort with pressure. But if you want to build something real, with serious technical challenges and direct impact, this is it.

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Who are Heidi?Heidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care.We exist to double healthcare’s capacity while keeping care deeply human. In 18 months, Heidi has returned more than 18 million hours to clinicians and supported over 73 million patient visits. Today, more than two million patient visits each week are powered by Heidi across 116 countries and over 110 languages.Founded by clinicians, Heidi brings together clinicians, engineers, designers, scientists, creatives, and mathematicians, working with a shared purpose: to strengthen the human connection at the heart of healthcare.Backed by nearly $100 million in total funding, Heidi is expanding across the USA, UK, Canada, and Europe, partnering with major health systems including the NHS, Beth Israel Lahey Health, MaineGeneral, and Monash Health, among others.We move quickly where it matters and stay grounded in what’s proven, shaping healthcare’s next era. Ready for the challenge?The RoleWorking closely with the Engineering Manager and Product Lead, you will be a Mid-level or Senior Fullstack Engineer who operates at the intersection of core product development and clinical application.As a Forward Deployed Engineer, you will serve as a technical accelerator for the engineering organization—designing, deploying, and refining end-to-end voice AI solutions that address complex user requirements with high velocity and precision.You will act as a primary technical liaison for our enterprise customers, bridging the gap between their complex infrastructure needs and our core platform to deliver seamless, scalable integrations within large healthcare environments.What you’ll do:Build end-to-end AI features: Architect and ship fullstack solutions (from React frontends to Python backend services) that leverage our voice AI and LLMs to automate clinical workflows.Operationalize Voice AI: Implement and fine-tune audio processing pipelines, ensuring our Automatic Speech Recognition (ASR) and LLM agents perform accurately in diverse, real-world medical environments.Bridge the gap between model and product: Translate complex feedback from clinicians into technical solutions, rapidly prototyping and deploying improvements to model behavior, prompting strategies, and audio handling.Optimise for real-time interaction: Tune fullstack performance to handle real-time audio streaming and token generation, minimizing latency so clinicians have a seamless conversational experience.Partner with implementation and clinical teams: Shorten the feedback loop by shipping critical integrations and feature requests from concept to production in days, not quarters.What we will look for:Mastery of Fullstack fundamentals: You are equally proficient in Python and modern frontend frameworks (React/TypeScript), capable of owning a feature from the database schema to the UI interaction.Applied AI & Voice fluency: You have a working knowledge of LLM integration (RAG, prompt engineering) and audio technologies (ASR, speech processing) and know how to build around their probabilistic nature.Pragmatic problem solving: You balance engineering purity with the need for speed; you know when to build a robust system and when to ship a tactical solution to unblock a customer.Cloud fluency (AWS or GCP): You can spin up your own infrastructure (containers, serverless functions) and manage CI/CD pipelines to get your code into the hands of users independently.Rigorous testing in production: You understand that "works on my machine" isn't enough; you implement observability and feedback loops to monitor how your AI features perform in the wild.What do we believe in?Heidi builds for the future of healthcare, not just the next quarter, and our goals are ambitious because the world’s health demands it. We believe in progress built through precision, pace, and ownership.Live Forever - Every release moves care forward: measured, safe, and built to last. Data guides us, but patients define the truth that matters.Practice Ownership - Decisions follow logic and proof, not hierarchy. Exceptional care demands exceptional standards in our work, our thinking, and our character.Small Cuts Heal Faster - Stability earns trust, speed delivers impact. Progress is about learning fast without breaking what people depend on.Make others better - Feedback is direct, kindness is constant, and excellence lifts everyone. Our success is measured by collective growth, not individual output.Our mission is clear: expand the world’s capacity to care, and do it without losing the humanity that makes care worth delivering.Why you will flourish with us 🚀?Flexible hybrid working environment, with 3 days in the office.Additional paid day off for your birthday and wellness daysSpecial corporate rates at Anytime Fitness in Melbourne, Sydney tbc.A generous personal development budget of $500 per annumLearn from some of the best engineers and creatives, joining a diverse teamBecome an owner, with shares (equity) in the company, if Heidi wins, we all winThe rare chance to create a global impact as you immerse yourself in one of Australia’s leading healthtech startupsIf you have an impact quickly, the opportunity to fast track your startup career!Help us reimagine primary care and change the face of healthcare in Australia and then around the world.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, and Singapore.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doDesign and deliver production-grade AI agents: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.Drive the Agent Development Life Cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in London, embedding AI agents across their entire business stack to drive innovation and efficiency.Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.Example projectsThese are some examples of projects that engineers on our team have worked on recently:Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churnDevelop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendationsCreate generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog!Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent developmentExperiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customersWhat you'll bringExperience building and scaling end-to-end production systemsStrong technical problem-solving skills, especially in fast-changing, ambiguous environmentsA builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and shipComfort working directly with customers to understand their needs and solve real-world problemsExcellent communication skills - clear, direct, and persuasive across technical and non-technical audiencesEven better...Experience building or deploying AI/LLM systems in productionHave been a founder or founding engineer - you know what it means to balance craft, ownership, and speedFamiliarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineeringPrior experience with React, TypeScript, and/or GoPrevious roles where you interfaced with customers or led technical projects with external stakeholdersOur valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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Who we are Helsing is a defense AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing program managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defense, its benefits, and its ethical implications.  The role At Helsing we deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localize, navigate, and perceive the world in real time. You will have the unique opportunity to shape the future of AI in one of the most challenging sectors, where performance needs to be paired up with high generalization capabilities and strong robustness against adversarial attacks.  The day-to-day You will develop ML/AI that leverage and extend the latest state-of-the-art methods and architectures, as well as design experiments and conduct benchmarks to evaluate and improve their performance in real-world scenarios. You will be a part of impactful projects and will collaborate with people across several teams and backgrounds to integrate cutting edge ML/AI in our production systems.  You should apply if you Hold an MSc in artificial intelligence, machine learning, computer science or a related field with experience in conceptualizing, implementing, and thoroughly evaluating advanced AI-based systems.  Have experience with the complete machine learning pipeline, from collecting and annotating data, to evaluating model architectures, and iteratively training and tuning models to meet performance requirements.  Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally.  Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++, and experience deploying AI software to production including testing, QA, and monitoring.  Have developed or implemented AI applications in defense and broadly understand defense specific use cases.   Note: We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarized in a few bullet points. Nice to Have Designed, developed, evaluated state of the art AI methods on edge devices with limited compute resources and led their end-to-end product delivery Experience with simulators, emulators, or synthetic data generators A US security clearance at the Secret or above level  Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defense industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practice responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking A generous compensation and benefits package (in addition to base salary) that includes, but may not be limited to, insurance coverage (medical and travel), flexible paid time off, paid holidays, and remote and/or hybrid work available depending on position. All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated or superseded from time to time.   #LI-DNI   Helsing is an Equal Opportunity Employer. We will consider all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, genetics, or any other characteristic protected by applicable federal, state, or local law.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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AnythingAnything is the AI product engineer for the next wave of entrepreneurs. It's an AI agent that turns English into apps. Everything you need make money on the internet built in - mobile, web, design, AI, backend, infra, payments. Launched Aug 7th. https://x.com/anything Hit $5m rev and growing quickly Try it at anything.comRoleWhat this role isThis role is for people who want to grow faster than they could anywhere else. You will work on real AI systems from day one and take ownership of meaningful product work. You will tackle challenging problems, learn new tools constantly, and operate in an environment where speed, ambition, and personal growth are core expectations. You will be supported by senior engineers but trusted to figure things out, push through ambiguity, and build systems that reach millions of users. This is a place for people who want to develop world class skills early in their career.You will be expected to move fast with clarity–reasoning through tradeoffs, writing things down when helpful, and choosing solutions that fit the broader system.How you will operateBreak down complex or unclear problems into clear steps and propose practical solutionsMake thoughtful tradeoffs between speed, correctness, and long-term maintainabilityBuild AI powered features using TypeScript and modern AI frameworksCollaborate closely with product and design to align on goals and ship with confidenceTalk with users and use the product yourself to understand real-world needs and opportunitiesPush through obstacles with resourcefulness and a strong problem-solving mindsetLearn new concepts quickly and apply them to real production challengesStay up to date on the latest in AI research and engineeringTake on tasks that stretch your abilities and work hard to close skill gaps quicklyContribute to a culture of ownership, ambition, and fast-paced learningAI is a rapidly evolving field, and no one here has all the answers. We value humility, openness to feedback, and a willingness to revise your thinking as you learn. Strong opinions are welcome when they are paired with curiosity and respect for evidence.Primary outcomesYour success will be measured by:1. Independent problem-solving and execution You take goals, investigate unknowns, evaluate options, and deliver solutions without waiting for extensive guidance.2. Fast skill growth You significantly expand your technical range within your first months through hands-on work and deliberate learning.3. Shipped product impact Your features improve user experience, performance, and product depth in measurable and well-reasoned waysRequired backgroundCandidates typically show:A strong technical foundation from a top CS program or equivalent hands-on experience building real systemsEvidence of ambitious, self-driven projects or internships that required problem solving and ownershipSolid programming fundamentals and comfort with TypeScriptExceptional ability to read deeply, reason clearly, and communicate complex ideasCuriosity about AI systems and a desire to push beyond easy or obvious solutionsA personal track record of learning quickly and putting in real effort to master difficult skillsExperience working in fast-paced environments while balancing care with urgency.Nice to havePrior internships in AI, backend, or infrastructure engineeringPreviously been one of the first 10 hires at startupPersonal projects that show initiative, creativity, and independent thinkingBackgrounds or interests that span technical and non-technical domains (e.g. writing, design, philosophy, economics, etc)Why this role mattersWe are building products on the frontier of AI and that requires a team that learns fast, thinks clearly, and works hard. You will grow more in one year here than in several years at a typical company. You will take on challenges that stretch your abilities and solve problems that materially shape the future of the product.In all roles We look for:Intense. Ship fast. Cycles are hours, not weeks. Hard to outwork.Ownership. Grab the #1 priority and relentless to deliver.Fearlessness. Risk on. Do the unknown / uncomfortable. Say "good" to bad news.Taste. Obsess over quality. Know what “great” looks like. No slop.Play. Curiosity, joy, and energy.Sound like you?Come do the most meaningful work of your career. Applying Submit here and we'll reach out if it's a fit.

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AI at ZapierAt Zapier, we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here - that’s great! We just ask that you use them responsibly and transparently.Check out our guidance on How to Collaborate with AI During Zapier’s Hiring Process, including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process - and when not to.Hi there!Join Zapier’s new AI Tasks team, where you’ll own the core AI surfaces that make our customers’ workflows smarter—shipping and scaling products like AI by Zapier and Human in the Loop that thousands rely on to extract, classify, summarize, and safely approve actions in production automations. You’ll partner across our AI Orchestration portfolio (Agents, Chatbots, Copilot, and platform capabilities) to design elegant, reliable AI execution patterns at scale—reducing friction, raising quality, and turning complex AI into approachable building blocks for real businesses.We’re hiring Senior Full Stack Engineers (both frontend and backend leaning) to help invest in taking these surface areas to the next level. You’ll collaborate closely with AI experts, product managers, designers, and platform engineers to bring LLM-native workflows to life — with users and usability always at the center.If you’re excited about building real-world applications of AI (not just demos), working across the stack, and shaping the future of autonomous agents in automation — we’d love to hear from you.Zapier Agents is a new and fast-moving product at the intersection of AI, automation, and product-led growth. In this role, you’ll:Design and build features that allow users to delegate tasks and orchestrate workflows using natural languageCollaborate with our platform team that manages agent memory, reasoning, execution, and system integrationsBuild and refine user-facing features and interfaces for initiating, monitoring, and guiding agent behaviorCollaborate with AI and platform teams to connect Zapier Agents with core orchestration infrastructureOwn projects end-to-end — from scoping and architecture to implementation, testing, and supportImprove developer experience, observability, and deployment pipelines as the product maturesIn this role, you’ll:Design and build features that allow users to delegate tasks and orchestrate workflows using natural languageContribute to backend systems that manage agent memory, reasoning, execution, and system integrationsBuild and refine user-facing features and interfaces for initiating, monitoring, and guiding agent behaviorCollaborate with AI and platform teams to connect Zapier Agents with core orchestration infrastructureOwn projects end-to-end — from scoping and architecture to implementation, testing, and supportImprove developer experience, observability, and deployment pipelines as the product maturesOur Commitment to ApplicantsCulture and Values at ZapierZapier Guide to Remote WorkZapier Code of ConductDiversity and Inclusivity at Zapier High Visibility, High ImpactIf you thrive on building complex systems that are easy to use and hard to break, this zone is for you:Work on foundational systems used by millionsHelp users build smarter, more powerful automationsContribute to new AI-native experiencesCollaborate with cross-functional teams across Product, Design, and SupportJoin a high-ownership environment with clear user impact and fast iterationAbout YouWe’re looking for experienced engineers who bring:For backend-leaning Full Stack roles: Strong backend experience with Python/Django building reliable, scalable, and observable services. Experience with TypeScript/Node.js is a bonus, but not required.For frontend-leaning Full Stack roles: Advanced experience with React (and ideally frameworks like Next.js); you’re confident working across the stack and delivering cohesive user experiencesExperience architecting, building, debugging and operating distributed systems at scale is a benefit to candidates, but not essential.Familiarity with AWS primitives, including S3, SQS, Lambda, RDS, etc.Familiarity with relational databases like PostgreSQL or MySQL, and the ability to model, query, and optimize data effectivelyExperience designing and consuming RESTful APIs, building event-driven systems, and working with data integrations across servicesProven ability to lead complex technical projects—owning design decisions, balancing tradeoffs, and guiding implementation across multiple contributorsYou proactively coach and support teammates, foster growth through mentorship, and contribute to a culture of feedback and continuous improvementYou navigate ambiguity with confidence—able to clarify priorities, align stakeholders, and drive toward meaningful outcomes even when goals shiftYou’ve used AI tooling for work or personal use. You explore new tools, workflows, and ideas to make things more efficient, and are eager to deepen your understanding of AI and use it regularly.How to ApplyAt Zapier, we believe that diverse perspectives and experiences make us better, which is why we have a non-standard application process designed to promote inclusion and equity. We're looking for the best fit for each of our roles, regardless of the type of companies in your background, so we encourage you to apply even if your skills and experiences don’t exactly match the job description. All we ask is that you answer a few in-depth questions in our application that would typically be asked at the start of an interview process. This helps speed things up by letting us get to know you and your skillset a bit better right out of the gate. Please be sure to answer each question; the resume and CV fields are optional.Education is not a requirement for our roles; however, if you receive an offer, you will need to include your most recent educational experience as part of our background check process.After you apply, you are going to hear back from us—even if we don’t see an immediate fit with our team. In fact, throughout the process, we strive to never go more than seven days without letting you know the status of your application. We know we’ll make mistakes from time to time, so if you ever have questions about where you stand or about the process, just ask your recruiter!Zapier is an equal-opportunity employer and we're excited to work with talented and empathetic people of all identities. Zapier does not discriminate based on someone's identity in any aspect of hiring or employment as required by law and in line with our commitment to Diversity, Inclusion, Belonging and Equity. Our code of conduct provides a beacon for the kind of company we strive to be, and we celebrate our differences because those differences are what allow us to make a product that serves a global user base. Zapier will consider all qualified applicants, including those with criminal histories, consistent with applicable laws.Zapier prioritizes the security of our customers' information and is dedicated to adhering to all applicable data privacy laws. You can review our privacy policy here.Zapier is committed to inclusion. As part of this commitment, Zapier welcomes applications from individuals with disabilities and will work to provide reasonable accommodations. If reasonable accommodations are needed to participate in the job application or interview process, please contact jobs@zapier.com.Application Deadline:The anticipated application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later, or if the position is filled.Even though we’re an all-remote company, we still need to be thoughtful about where we have Zapiens working. Check out this resource for a list of countries where we currently cannot have Zapiens permanently working.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?As an Evaluation Frontend Software Engineer, you will play a key role in helping us make modelling decisions based on experimental outcomes for our large language models (LLMs). Your primary focus will be on building tools to enable easy visualization and analysis of model evaluations which are stored in a central database. You will work closely with cross-functional teams, including researchers and engineers, to surface the insights that are necessary for the future development of our models.This role combines expertise in statistics, data science, frontend development and data visualization. If any of these topics sound interesting to you, we encourage you to apply.Please Note: We have offices in London, Paris, Toronto, San Francisco, and New York, but we also embrace being remote-friendly! There are no restrictions on where you can be located for this role.As a Evaluation Frontend Software Engineer you will:Design tools and visualizations that enable researchers and engineers to compare and analyse hundreds of model evaluations. This includes both data visualization tools, as well as statistical tools to extract signal from the noisy signals we get.Develop an understanding of the relative merits and limitations of each of our model evaluations, as well as suggest new facets of model evaluation.You may be a good fit if you have:Extremely strong software engineering skills.Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance.Prior experience building front-end visualization systems and dashboards.Familiarity with ML systems evaluations.Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX).Excellent communication skills to collaborate effectively with cross-functional teams and present findings.One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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About the CompanyModels are what they eat. But a large portion of training compute is wasted training on data that are already learned, irrelevant, or even harmful, leading to worse models that cost more to train and deploy.At DatologyAI, we’ve built a state of the art data curation suite to automatically curate and optimize petabytes of data to create the best possible training data for your models. Training on curated data can dramatically reduce training time and cost (7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. For more details, check out our recent blog posts sharing our high-level results for text models and image-text models.We raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models. Our team has pioneered this frontier research area and has the deep expertise on both data research and data engineering necessary to solve this incredibly challenging problem and make data curation easy for anyone who wants to train their own model on their own data.This role is based in Redwood City, CA. We are in office 4 days a week.About the RoleWe’re looking for a Software Engineer Intern (Fall 2026) to join our Infrastructure team at DatologyAI. You’ll work closely with experienced engineers to design and build the systems that power large-scale data curation and model training. This is an opportunity to learn how cutting-edge AI infrastructure is built from the ground up—across distributed systems, multi-cloud environments, and high-performance compute platforms.As an intern, you’ll take ownership of meaningful projects that contribute directly to our production systems and internal tooling. You’ll learn how to think about scale, reliability, and efficiency in the context of modern AI workloads, while collaborating with some of the strongest engineers and researchers in the field.What You'll Work OnBuild and improve internal tools that accelerate developer productivity and system reliabilityDesign and prototype components of DatologyAI’s distributed training and data infrastructureContribute to automation, deployment, and observability systems across multi-cloud and on-prem environmentsCollaborate with engineers and researchers to bring new ML infrastructure capabilities to productionParticipate in code reviews, technical discussions, and learn best practices for scalable infrastructure developmentAbout YouPursuing a BS, MS, or PhD in Computer Science, Electrical Engineering, or a related fieldStrong programming skills in Python, Go, or C++Familiar with Linux systems, Docker, Kubernetes, or similar technologiesCurious about cloud computing (AWS, Azure, or GCP) and large-scale distributed systemsExcited to learn how infrastructure enables ML research and model deployment at scaleCollaborative, detail-oriented, and eager to take on complex technical problemsCompensationThis is a paid internship with a standard monthly stipend. If you are not currently located in the Bay Area, we provide a relocation stipend to help cover travel and living expenses during your three months on-site.We offer a comprehensive benefits package to support our employees' well-being and professional growth:100% covered health benefits (medical, vision, and dental).401(k) plan with a generous 4% company match.Unlimited PTO policyAnnual $2,000 wellness stipend.Annual $1,000 learning and development stipend.Daily lunches and snacks are provided in our office!Relocation assistance for employees moving to the Bay Area.