Top Software Engineer Jobs Openings in 2025

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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewAs a Staff Backend Software Engineer at Harvey, you’ll play a pivotal role in shaping the foundation of our product platform while directly building user-facing features for some of the world’s leading law firms and enterprise customers. This team owns and operates the platform layer that enables secure, reliable, and flexible experiences for our customers including notifications, permissions and feature flag infrastructure. We also build enterprise-grade collaboration experiences for law firms.You will design and own systems that not only serve as critical infrastructure for the rest of the company, but also directly impact how our users engage with Harvey’s AI-powered legal tools. This role is ideal for engineers who are excited by the opportunity to move between deep platform thinking and hands-on product iteration.This role is based in Toronto, Canada. We use an in-person work model and offer relocation assistance to new employees.What You’ll DoDesign and build foundational backend infrastructure including authentication, permissions, feature flagging, notifications, and document management integrationsBuild and evolve Harvey’s internal product platform, accelerating development across multiple product lines and engineering teamsLead development of enterprise-facing features, such as secure multi-party collaboration, cross-organization workflows, and robust admin controlsMaintain high standards for security, privacy, and system reliability, particularly in handling sensitive legal dataCollaborate cross-functionally with product, AI, design, and GTM teams to deliver delightful, enterprise-ready experiencesWhat You Have5+ years (post-BS/MS) of backend-focused software engineering experience on platform and/or product-oriented teamsExperience working across the stack to ship user-facing features with measurable impactStrong knowledge of distributed systems, REST/gRPC APIs, databases, and scalable service architecturesFamiliarity with or interest in enterprise SaaS patterns, such as role-based access control (RBAC), feature flag systems, and third-party integrationsTrack record of shipping highly intuitive products, strong attention to detailExperience building backend platforms that can support multiple product linesStrong programming skills and general Computer Science knowledgeWhat We OfferBe part of building something special as a founding member of our Toronto teamStructured hybrid working arrangement: 3 days in our Toronto office, 2 days working from homeAdditional Information Location: Toronto, Ontario (Hybrid with flexibility)Work eligibility: Must have valid Canadian work rights; Harvey does not currently offer visa sponsorship for this roleWe are an AI company and we use AI to improve all of our processes, including in the recruitment process. Whilst we do use AI to help improve efficiency in our recruitment process, we do not rely on AI to make any automated decisions and ensure that a human reviews AI output.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 interview-help@harvey.ai.

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n8n is a workflow automation platform that uniquely combines AI capabilities with business process automation. We give technical teams the flexibility of code with the speed of no-code, backed by a passionate community of builders. With 500+ integrations and fair-code principles, we're revolutionizing how businesses connect their systems and processes. We were founded end of 2019 and currently: 🧑‍🤝‍🧑 We’re a diverse team of + 120 talented people 🚀 Our annual recurring revenue is growing over 7x year-over-year ⭐️ With +118k GitHub stars, we are in the top 50 most popular projects of all time on Github 🍾 We were the 25th fastest growing startup last year and 4th BtoB SaaS Rising 100 this year in Europe according to Sifted 🌱 We were Sequoia's first seed investment in Germany, and most recently secured our $60M Series B (February '25, led by Highland)We are now looking for a Senior Support Engineering in Europe to continue to make sure that all of our users (from enterprise customers to community members) have a best in class support experience.You will get a chance to set standard for delighting our customers and develop a deep knowledge of the low code & AI landscape while being part of building a best in class support team.Responsibilities:Provide technical support to users via tickets, chat, and community forums.Diagnose and troubleshoot issues related to n8n, including workflow execution, integrations, and performance.Collaborate with the engineering team to escalate and resolve complex technical challenges.Create and maintain documentation, FAQs, and knowledge base articles.Identify common issues and work on solutions to improve product reliability and user experience.Contribute to the community by answering questions and sharing best practices.Requirements:5+ years of experience in a technical support or customer-facing engineering role (+ if experienced with enterprise support)Open to participate in an paid on-call rotation to provide after-hours supportStrong understanding of workflow automation, APIs, and integrations.Strong knowledge of networking concepts like DNS, HTTP/HTTPS, and TCP/IPGood understanding of JavaScript, Node.js, and Docker.Experience with Kubernetes is a plus.Excellent problem-solving skills and attention to detail.Strong communication skills and ability to explain technical concepts to non-technical users.Passion for helping users and improving product usability.n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.We can sponsor visas to Germany; for any other country, you need to have existing right to work.Our company language is English.You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. Benefits Competitive compensation 💸 – We offer fair and attractive pay.Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.Work/life balance 🏖️ – We work hard but ensure you have time to recharge:Europe: 30 days of vacation, plus public holidays wherever you are.US: 15 vacation days, 8 sick days, plus public holidays wherever you are.Health & wellness 🩺 –Europe: We provide benefits according to local country norms.*US: Comprehensive medical (PPO 1200), dental, and vision plans.Future planning 💰 –Europe: We provide pension contributions according to local country norms.*US: 401(k) retirement plan.Financial security 🛡️ –Europe: We provide benefits according to local country norms.*US: Short-term & long-term disability insurance, life & AD&D coverage, and additional hospital coverage.Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.An ambitious but kind culture 😍 – People love working here—our eNPS for 2024 is 94!* Country-specific details are provided in your contract.

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$120K - $180K // 0.50% - 2.50% // San Francisco or RemoteAbout the roleWe’re looking for a full-stack engineer to own and drive AI agent workflows at Anara (formerly Unriddle). This is an opportunity to reinvent how scientists discover information and collaborate. You'll build the technical foundation for features that will transform scientific research for decades to come.Our tech stack consists of Next.js, TRPC, Tailwind CSS, Drizzle and Prisma for databases, AWS (SST/EC2), NextAuth, Turborepo and Python.We value hands-on experience over fancy credentials. We’re most interested in engineers who have built interesting side projects or contributed to fun open source work.What you’ll be doing:Own the design, implementation and optimization of our AI agent workflows and supporting infrastructure, ensuring reliability, scalability and rapid iteration.Collaborate closely with the rest of the engineering team on our RAG pipeline, continuously improving response quality, latency and robustness.Monitor and optimize system performance and costs, making pragmatic tradeoffs to keep us lean and moving fast.Establish best practices for prompt engineering and deployment of new models and workflows.Own the design and automation of eval pipelines to continuously measure, benchmark and improve AI agent quality and reliability.You’re likely a good fit if:You are quick, scrappy and first and foremost a hacker/builder - comfortable moving from idea to production in days, not weeks.You have experience shipping complex backend and AI/ML features to real users.You’ve worked on full stack agent behaviors and have hands-on experience with LLMs, RAG, and agent architectures.You have worked in a high-growth, fast-paced environment (ideally another startup) and can drive things forward with relatively little oversight.We’re based in San Francisco with members of the team distributed across the US and Europe.If you're interested in moving to SF, we're more than happy to sponsor your visa. We'll work with an immigration attorney to make sure everything goes smoothly.We offer premium healthcare (medical, dental, etc.), flexible working hours and office space with a beautiful view of the SF marina and Golden Gate bridge.To apply, reach out with a couple of sentences about you, links to your previous work and what you want to do for us starting next week. Applications without this information are automatically archived.About AnaraAnara is AI for scientific advancement. We help researchers understand, organize and write scientific documents, together.We started working on Anara 18 months ago. In that time:we’ve grown to 2M users spanning hundreds of major colleges and research-led companies,we reached $3M in yearly revenue and are fast approaching $4M,200M+ people have seen our content across Instagram, TikTok and YouTube,and we raised $2.4M from YC and the founders of Github and Reddit.Looking ahead, we’re expanding beyond summarization and writing assistance to address the broader challenges of information overload faced by academics and research teams.We're a small, tight-knit team with huge ambitions. As a founding member of the team, you'll be instrumental in helping us scale revenue from $3M to $10M and then $10M to $100M+.If you’re excited by the idea of being a part of that, definitely apply.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role We are seeking a Design Manager for our Memphis location to lead the design of cutting-edge AI infrastructure at an unprecedented scale. As the head of design, you will unify design strategies across all engineering disciplines, driving decisions that shape xAI’s infrastructure, compute, and supplier ecosystems. This role oversees data center design and construction administration, ensuring alignment with xAI’s strategic technical roadmap across all project phases. Responsibilities Lead as head of design, unifying mechanical, electrical, structural, and network systems for cohesive, optimized AI infrastructure. Apply engineering codes, principles, and practices to guide design, analysis, and problem-solving. Collaborate with internal teams to define infrastructure requirements. Partner with external design teams and stakeholders to develop and issue design documents. Manage design change processes to align with project goals. Review and respond to contractor Requests for Information (RFIs). Conduct site reviews and deliver technical reports. Support project closeout and as-built documentation. Review commissioning scripts and reports to validate system performance. Identify process improvements, optimize designs, and balance schedule, performance, and cost tradeoffs. Mitigate design risks and implement robust QA/QC practices. Align designs with xAI’s technical and business objectives. Integrate sustainability, energy efficiency, and resiliency into designs. Travel between xAI’s Memphis location and project sites in the US and internationally as needed. Basic Qualifications BS in Engineering, Architecture, or a related field. 7+ years of experience in mission-critical infrastructure design. Experience stamping construction drawing packages. Deep knowledge of industry standards, building codes, and safety regulations. Proficiency in Revit/BIM, Autodesk, or similar design software. Expertise in data center infrastructure design, construction, commissioning, and operation. Ability to thrive in fast-paced environments, balancing long-term planning with immediate execution needs. Preferred Skills and Experience Professional Engineer (PE) or Registered Architect (RA) license. Experience building AI infrastructure or supercomputers at scale. Proven ability to lead cross-functional teams and align them around a shared technical vision. Comfort with ambiguity and skill in turning loosely defined goals into structured execution plans. Strong communication skills to convey complex technical concepts to non-technical stakeholders and influence executive decisions. Systems-level thinking, understanding how decisions impact performance, cost, and schedule. Track record of mentoring teams and fostering technical excellence and accountability. Ability to prioritize design quality and optimize for speed, scalability, or resilience based on project needs. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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What We Do Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure.Role at a GlanceAs an Enterprise Applications Solutions Engineer, you will be the driving force for enabling the seamless flow of information and automation across our business systems. You will design, implement, and maintain robust solutions in Salesforce and between other enterprise platforms and productivity tools, helping our teams operate more efficiently and with greater clarity. This is a high-impact, hands-on, cross-functional role requiring deep technical expertise, business intuition, and strong collaboration skills working closely with internal stakeholders across IT, Operations, Finance, Sales, and GTM to turn business processes into elegant, scalable systems.What you will doAs an Enterprise Applications Solutions Engineer, you will:Partner with internal stakeholders to translate high-level business problems into technical requirements and deliver solutions that drive measurable outcomes.Design, implement, and maintain scalable Salesforce automations using as well as integrations between enterprise applications such as Netsuite, JIRA, Slack, and workforce management platformsSupport user training, documentation, and change management for newly implemented solutions.Collaborate closely with security, compliance, and data teams to ensure all workflows meet internal and regulatory standards.About YouMotivated by impact and thrives in a fast-paced collaborative environment, working across departments and functions.Adaptive, self-starting, and organized - you’re equally comfortable executing independently and working within a team.Highly curious and resourceful, able to dive deep to understand how systems work and why processes exist.Growth-oriented and motivated by staying current with rapidly evolving technologies (e.g., AI)Strong communicator who can translate business processes and problems into technical solutions and vice versa.Required Skills / ExperienceBachelor’s degree in Computer Science, Information Systems, or related technical field (or equivalent practical experience).3+ years of experience working with Salesforce as a developer or technical administrator with demonstrated proficiency with Apex, SOQL, Lightning Web Components, Flow Builder, and integration tools (e.g., REST/SOAP APIs).Working knowledge of integration platforms and custom API developmentDemonstrated experience gathering business requirements and building / maintaining automated workflows within and across enterprise applications.Familiarity with CRM, ERP, and HR systems and the business processes they support.Experience with version control (e.g., Git), CI/CD pipelines, and sandbox testing strategies.Understanding of system architecture, application lifecycle management, and data governance principles.Preferred Skills / Experience:Hands-on experience with Salesforce integrations to ERP systems like Netsuite.Experience implementing integrations and workflows to support measurability and analytics.Experience implementing or working with agentic AI tools (e.g., ChatGPT or workflow AI agents) for process automation.Familiarity with productivity and workflow tools such as GSuite, Slack, JIRA, and Asana.Exposure to cloud platforms such as Google Cloud Platform (GCP).Who We AreAt Gecko, our people are our greatest investment. In addition to competitive compensation packages, we offer company equity, 401(k) matching, gender-neutral parental leave, full medical, dental, and vision insurance, mental health and wellness support, ongoing professional development, family planning assistance, and flexible paid time off. Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we're together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact.Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer.  We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you.

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About EverestAt Everest, we believe executive assistants do meaningful, high-leverage work—and that work isn’t going anywhere. We're redefining executive support by turbocharging elite assistants with powerful agentic systems, so they can focus on the real work.Because the real work is hard. There's no AI workflow for getting a Great Dane from Rome to Rio. There's no automating the trust required to support the people whose work is shaping our world.So, what are we streamlining? Everything else.We're building AI-native infrastructure into the bones of our operations—orchestration and observability layers that balance deterministic systems with stochastic outcomes. We prioritize thoughtful and ethical approaches to deploying AI agents that don't replace people, but make them superhuman.We’re a small, senior team shipping the kind of agentic infrastructure most companies will still be demoing two years from now. You’ll help architect the core systems behind it, working closely with the world-class assistants who depend on it every day.Our executive assistants support some of the most influential people across tech and finance. They're not just our users—they're our stakeholders and collaborators. That means clearer priorities, better data, tighter feedback loops, and the flexibility to be decisive and take big swings.Core ResponsibilitiesDesign and implement backend systems that power agentic workflows across LLM, deterministic, and hybrid pipelines.Own and evolve core infrastructure like context memory, orchestration layers, and prompt routing systems.Design composable multimodal systems that dynamically execute workflows from unstructured inputs (text, audio, video, images).Optimize latency, extensibility, reliability, and inference cost of multi-agent pipelines.Collaborate directly with internal EAs to pressure-test workflows in the real world.Help us make clear decisions about when to use LLMs vs. traditional systems—and how to do both well.Skills and Qualifications5+ years of experience in backend software engineering, preferably in Go or similar systems languages.Shipped agentic LLM systems to production (not prototypes, not demos).Built real-time systems, distributed async queues, or performance-critical services.Deep understanding of prompt engineering, token budgeting, and context management.Strong intuition for when to use AI—and when not to.Thrive in small teams with high trust and high ownership.Bonus PointsExperience with RAG, embedding stores, and vector DBs.Familiarity with tool orchestration frameworks.Understanding of the architectural tradeoffs of agentic systems, RAG, MCP, memory, and orchestrations.Know how to work with (and around) the limitations of cutting-edge LLM technologies.Background in AI safety, observability, or human-in-the-loop workflows.Prefer building systems that are simple, scalable, and "good enough," without sacrificing maintainability or future flexibility.Are fluent in small-team dynamics: high trust, low ego, shared accountability.Work EnvironmentLocation: Remote.Collaboration: You’ll work closely with our Engineering Lead and the small team shipping core product features weekly.Compensation and BenefitsSalary: Competitive, commensurate with experienceHealthcare: Medical, dental, and visionBenefits: 401k plan, short and long term disability, life insurance, generous paid time off policy.Growth: Do foundational work on systems most companies won’t be building for two years

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Magical is redefining how work gets done.Our agentic AI platform brings "AI employees" into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care.The shift to agentic work is inevitable, and we’re leading it. We've scaled from $0 -> $XM ARR in 3 months with our agentic product, and we're looking for engineers to help us reach $XXM ARR in the next 9 months. As a founding engineer, you won’t just be writing code, you’ll be shaping the playbook for the future of work alongside a small, relentless team pushing the edge of what’s possible with AI.We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, and Lightspeed. The runway is long. The ambition is high. And the market is wide open.About the roleBuild and evolve our automation builder, enabling users to create sophisticated multi-agent workflows with easeLeverage AI to deliver smart suggestions for improving prompts and testing agent performanceDevelop features that let users supervise automations, jump in to assist, and teach agents through hands-on feedbackCollaborate closely with product and design to shape the roadmap and bring bold ideas to life on the frontier of agentic AIAbout youHave 2+ years of software engineering experience, mostly in TypeScript and ReactHave a strong bias towards action, a willingness to do whatever it takes, and embody show > tellHave a strong sense of agency, effectively prioritizing and unblocking yourself without much outside input.Value taking ownership and responsibility for your projects and systems.Studied Computer Science (or related field), or dropped out to build stuffLocated in SF or willing to relocateWhat we offerA chance to be an early team member at a fast-growing, ambitious companyThe opportunity to push the boundaries of what’s possible with AIA modern stack and the latest tools to do your best workCompetitive salary and meaningful equityUnlimited PTOFun team offsites, past trips include Iceland, Lisbon, Cancun, and Costa RicaTech stackTypeScriptFrontend: Next.js, Shadcn, Tanstack, Tailwind, Zustand, and ViteBackend: Node, AI SDK, Hono, Drizzle, Postgres (neon), and Railway

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Magical is redefining how work gets done.Our agentic AI platform brings "AI employees" into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care.The shift to agentic work is inevitable, and we’re leading it. As a founding engineer, you’ll help build a new product that’s already hit product–market fit, with a clear path to transforming how entire industries operate. You won’t just be writing code, you’ll be shaping the playbook for the future of work alongside a small, relentless team pushing the edge of what’s possible with AI.We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion - including Greylock, Coatue, Lightspeed and Altman Capital. The runway is long. The ambition is high. And the market is wide open.About the roleBuild and evolve our automation builder, enabling users to create sophisticated multi-agent workflows with easeLeverage AI to deliver smart suggestions for improving prompts and testing agent performanceDevelop features that let users supervise automations, jump in to assist, and teach agents through hands-on feedbackCollaborate closely with product and design to shape the roadmap and bring bold ideas to life on the frontier of agentic AIAbout youHave 2+ years of software engineering experience, mostly in TypeScript and ReactHave a strong bias towards action, a willingness to do whatever it takes, and embody show > tellHave a strong sense of agency, effectively prioritizing and unblocking yourself without much outside input.Value taking ownership and responsibility for your projects and systems.Studied Computer Science (or related field), or dropped out to build stuffLocated in SF or willing to relocateWhat we offerA chance to be an early team member at a fast-growing, ambitious companyThe opportunity to push the boundaries of what’s possible with AIA modern stack and the latest tools to do your best workCompetitive salary and meaningful equityUnlimited PTOFun team offsites, past trips include Iceland, Lisbon, Cancun, and Costa RicaTech stackTypeScriptFrontend: Next.js, Shadcn, Tanstack, Tailwind, Zustand, and ViteBackend: Node, AI SDK, Hono, Drizzle, Postgres (neon), and Railway

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About the TeamThe Model Behavior team shapes how our models interact with people. We view the model as the product itself, aiming to create intuitive experiences that exceed user expectations and feel like magic.The team partners closely with research and product teams across the company to improve the real-world usefulness of our models at scale. Our work directly impacts hundreds of millions of users globally and contributes to OpenAI's mission of broadly distributing safe AI.About the RoleWe are looking for a full-stack engineer with experience in observability, tooling, and data pipelines to capture, aggregate, and surface production signals about human–model interactions. You will build systems to understand and act on (1) how users engage with our models and (2) where our models fall short, and develop robust evaluations to define and track improvements in model behavior. These signals power our understanding of real-world model performance and can be captured in creative ways beyond standard logging and metrics, requiring both technical skill and product intuition.This role requires working across the stack — from building front-ends to surface & visualize insights to debugging back-end pipelines — and collaborating with cross-functional teams to ship iteratively under tight deadlines. You should thrive in scrappy environments, quickly prototype solutions, and care deeply about end-user experience and aesthetics. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.In this role, you will:Do the highest-leverage work to improve models for users at scaleBuild systems to understand and act on (1) how users engage with our models and (2) where our models fall short from delivering the best experiences for our usersDevelop robust evaluations to define and track improvements in model behaviorRapidly prototype and develop tooling, dashboards, and visualizations for researchers and applied teamsDesign, implement, test, and debug code across the research and product stackBuild and maintain robust telemetry, logging, and data pipelines to support production-scale model evaluationCollaborate across research, safety, infrastructure, and product teams to deliver solutions that improve model efficiency and user experienceOwn and support experiments that validate hypotheses around model behaviorYou might thrive in this role if you:Have experience building and maintaining full-stack observability toolingHave built evaluations for capability and model improvementsEnjoy owning 0→1 user-facing products or tools, ideally in a startup or fast-moving environmentShip quickly under competing priorities and tight deadlinesUnderstand how evaluations work and are curious about model training and iterationCare about product polish, usability, and interface aestheticsCollaborate effectively across teams and take on diverse tasks to move work forwardAre a team player, willing to do a variety of tasks that move the team forwardBonus: understand AI/ML workloads and have experience building evaluation systems for themAbout 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.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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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The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. The Role The Advanced Technologies Group (ATG) at Metropolis is looking for a Principal Software Engineer to lead advancements in our Edge platform as we expand the Metropolis mission to new areas beyond parking.  ATG is developing and deploying a broad suite of technologies that enable “AI for the Real World” including cameras, edge compute, sensors, displays, and robotics.  The Edge platform is our mission critical backend system that consumes and organizes event data from those field deployed hardware and ML systems, integrating real-time hardware events and machine learning outputs into a core mobility identification platform that powers our business applications. In this role, you will guide software development of the Edge platform as we expand into new business verticals, and add both new capabilities and new devices into the ecosystem.  As a senior member of the ATG team, you will work with leadership to craft a technical vision and strategy for ATG that propels our entire suite of core technologies into the next phase of growth. This role will provide significant thought leadership, shape a strong engineering-led culture, and play a critical role in the company’s success by creating foundational capabilities on which Metropolis builds remarkable experiences. The ideal candidate will have an end-to-end systems engineering mindset, looking for opportunities well beyond just the software of our Edge platform and into hardware, edge device software and machine learning systems.  We are looking for a big thinker who can connect the dots between disparate technologies and systems to move Metropolis forward through ambiguity, but also who has the practical experience to drive improvements to our existing production systems. If you are energized by working across multiple teams and technologies together to solve real world problems at scale, and have a background with distributed hardware / ML / Software systems, this role is for you!   Responsibilities  Define technical direction for ATG software that organizes the teams to support existing edge systems, develops new capabilities, and creates a strategy for the future Work closely with cross-functional leaders in Hardware, Machine Learning, and other engineering teams to ensure alignment on edge initiatives Lead the Edge team to design and build backend software solutions that enable an expanding edge device ecosystem.   Guide the team technically, engaging in hands-on troubleshooting, architecture definition and implementation of best practices Establish robust and right sized processes and mechanisms to ensure the team is freed up to work on building Invest in the career development of team members, develop future leaders, and create a culture of cohesion and teamwork. Participate in talent acquisition processes to ensure that we have world class engineers across all skill and experience levels   Qualifications  BS, MS or PhD in Computer Science or a relevant engineering discipline 14+ years of experience with at least 4+ years of experience as a hands-on senior, staff or principal engineer Proven track record of designing and delivering large-scale distributed systems and software products in high volume, mission critical applications Experience developing technical strategy, getting buy-in from business and technology stakeholders, and guiding team(s) through execution Deep understanding of modern software design processes across the entire software development lifecycle, including TDD/BDD, CI/CD and related build/test/deploy processes. Experience working directly with or adjacent to distributed edge / IoT / hardware / ML systems  Strong fundamental computer science skills, and expert level knowledge of Scala, Java or other languages that run on the JVM. Demonstrated project management skills to ensure timely delivery of features, while maintaining high quality products. Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences Previous experience working inside innovative, high growth environments is a plus   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $245,000.00 to $290,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-NM1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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OpenAI is looking for a System Software Engineer to design, implement, and debug the foundational software that enables our products. You’ll work across the OS stack—kernel, drivers, and userspace daemons—and own pipelines for building and updating device images. Your work will span performance tuning, security hardening, and deep system debugging.We’re looking for engineers who thrive in complex, cross-disciplinary environments, can take ownership from concept to release, and are passionate about shipping robust, production-grade systems.In this role, you will:Design, implement, and debug kernel modules, device drivers, and userspace daemonsConfigure and maintain the OS: kernel, initramfs, init services, udev rules, networking, and security hardeningBuild and operate image/OTA pipelines (Yocto/Buildroot, package management, A/B updates, dm-verity)Instrument and analyze performance with perf, eBPF, ftrace; optimize CPU, memory, I/O, and power usageOwn system observability and reliability: logging, crash capture, watchdogs, and field diagnosticsCollaborate with hardware, camera/vision, and application teams to define interfaces and deliver featuresEstablish strong engineering practices: code review, CI, reproducible builds, and release managementWork with vendors and support system builds in the factoryYou might thrive in this role if you:Have deep experience shipping Linux-based products on hardware devices (arm64 or x86)Are proficient in C/C++ and comfortable with embedded Linux internals (drivers, IRQs, power management, filesystems, networking)Have strong systems debugging skills with gdb, strace, perf/eBPF, jtag, and kernel logsUnderstand kernel device tree overlays, I2S, I2C, SPI, CSI/DSIAre fluent in userspace foundations: systemd, D-Bus, sockets/IPC, udev, networking tools, shell/PythonHave experience building OS images and packages (Yocto/Buildroot, Debian/RPM, Docker) and OTA updatesBonus points for:Upstream contributions to Linux or major subsystemsExperience with secure boot, platform security, SELinux/AppArmor, TrustZone/OP-TEEGraphics/ISP or accelerator driver exposure (GPU, V4L2, media/codec, DMA, shared memory)Wireless connectivity stack experience (Wi-Fi/BLE, NetworkManager, wpa_supplicant)Production observability at the edge (symbolized crash reports, metrics, remote diagnostics)Experience in robotics, mobile, or other resource-constrained devicesFamiliarity with on-device ML accelerators, audio pipelines (ALSA, DSP, WebRTC, gstreamer)Knowledge of protobuf and other serialization formatsAbout 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.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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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n8n is a workflow automation platform that uniquely combines AI capabilities with business process automation. We give technical teams the flexibility of code with the speed of no-code, backed by a passionate community of builders. With 500+ integrations and fair-code principles, we're revolutionizing how businesses connect their systems and processes. We were founded end of 2019 and currently: 🧑‍🤝‍🧑 We’re a diverse team of + 120 talented people 🚀 Our annual recurring revenue is growing over 7x year-over-year ⭐️ With +118k GitHub stars, we are in the top 50 most popular projects of all time on Github 🍾 We were the 25th fastest growing startup last year and 4th BtoB SaaS Rising 100 this year in Europe according to Sifted 🌱 We were Sequoia's first seed investment in Germany, and most recently secured our $60M Series B (February '25, led by Highland)As a Senior Product Engineer on the Payday team (Enterprise features), you won't just write code - you’ll solve business problems for our enterprise users. Your primary focus will be on designing, building, and delivering high-impact features that address the needs of larger teams using n8n. You’ll own features end-to-end and work across the stack, collaborating closely with Product and Design to translate complex requirements into robust, scalable, and user-friendly solutions. We're looking for someone who brings strong engineering skills and a product mindset - someone who cares about user impact, focusing on why we're building something just as much as how. What we've shipped To give you a better idea of the impact you can have, here are some examples of features and improvements recently delivered for our enterprise users:Centralised insights dashboard providing administrators with a real-time overview of instance health, and workflow execution performance, enabling better monitoring, visibility, and confidence in managing large-scale n8n deployments.Enhanced Role-Based Access Control (RBAC) allowing allowing administrators to precisely control user access to workflows, credentials, and execution data, improving security and compliance.Git-backed Environments to enable teams to adopt safer development lifecycles (e.g. Development, Staging, Production), allowing controlled versioning and promotion of workflows without impacting live automation workflows. What you'll bring5+ years of professional software engineering experience, primarily focused on building web applications or SaaS products.Strong proficiency in Node.js and TypeScript/JavaScript.Experience working with Vue.js or other modern frontend frameworks (e.g. React, Angular).Experience in designing, building, and consuming robust APIs (e.g. RESTful, GraphQL).Solid understanding of relational databases (e.g. PostgreSQL) and SQL.Experience shipping features end-to-end in a product-driven environment, demonstrating ownership from concept to deployment.Experience with modern testing practices and frameworks (e.g. Jest, Vitest, Cypress).Excellent communication and collaboration skills, with a track record of working effectively in cross-functional teamsYou’re curious and you love learning new things.You value feedback, believe in continuous learning, and enjoy working with others to create a positive team environment.Nice to have / bonus pointsExperience developing features specifically for enterprise software (e.g. Role-Based Access Control, Single Sign-On).Experience with cloud platforms (AWS, GCP, Azure) and containerisation (Docker, Kubernetes).Experience contributing to or working with open-source projects.Familiarity with workflow automation concepts or platforms. Interested in learning more about our engineering teams? Check out our different teams to get a better understanding of what they do: Discover Engineering at n8n. Please check all our engineering openings and apply to the team that feels like the best fit for you.n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.We can sponsor visas to Germany; for any other country, you need to have existing right to work.Our company language is English.You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. Benefits Competitive compensation 💸 – We offer fair and attractive pay.Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.Work/life balance 🏖️ – We work hard but ensure you have time to recharge:Europe: 30 days of vacation, plus public holidays wherever you are.US: 15 vacation days, 8 sick days, plus public holidays wherever you are.Health & wellness 🩺 –Europe: We provide benefits according to local country norms.*US: Comprehensive medical (PPO 1200), dental, and vision plans.Future planning 💰 –Europe: We provide pension contributions according to local country norms.*US: 401(k) retirement plan.Financial security 🛡️ –Europe: We provide benefits according to local country norms.*US: Short-term & long-term disability insurance, life & AD&D coverage, and additional hospital coverage.Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.An ambitious but kind culture 😍 – People love working here—our eNPS for 2024 is 94!* Country-specific details are provided in your contract.

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As an GTM Engineer on our Growth team, you'll be at the forefront of automating business processes with AI. You'll build agents, automation systems, and intuitive interfaces that empower humans and machines work together.This is a unique opportunity to shape how our company leverages AI for growth, working with cutting-edge technologies to solve real-world problems that directly impact business outcomes.What You'll DoDesign and build AI agents that automate workflows across our business.Create intelligent automation systems (with or without AI) that optimize go-to-market processes.Develop user-friendly interfaces that help people do their job (when existing tools don’t provide those interfaces).Build and maintain scalable AI infrastructure that supports rapid experimentation.Work together with our CEO (Daniil), Head of Growth (Horia) & Business Engineering Lead (Ivan) to coordinate automation initiatives that help our GTM departmentWhat We're Looking ForStrong programming skills using Typescript (or another language + willingness to learn Typescript).Background in building full-stack applications and APIsExperience with AI frameworks (LangChain, OpenAI API, Anthropic Claude, etc.)Passion for automation and making complex processes simple.Nice to HaveUnderstanding of business processes and go-to-market strategies.Previous experience in growth engineering or marketing automation.Experience with agentic AI systems and multi-step reasoning.Background in startups or fast-paced environments.Why work with us?Focus on automation and AI - both our product and our company are designed to use as much software and automation as possible.Fully remote - Work from anywhere with flexible hours.Ownership mindset - We hire people, not skillsets. Build your own role as you grow.Early-stage impact - Oversized responsibility and the chance to shape our AI future.If you're excited about using AI to transform how businesses operate and grow, we'd love to hear from you. Join us in building the next generation of intelligent business automation.

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About FirsthandFirsthand has built the first AI-powered Brand Agent platform, transforming the way marketers and publishers engage consumers through their own AI agents, anywhere online.While most AI applications in marketing and advertising focus on back-office automation, the Firsthand Brand Agent Platform™ powers front-line consumer engagement. Operating across both owned properties and paid media, Firsthand's Brand Agents make a company’s expertise accessible in real time, adapting to consumers’ interests and guiding them towards the information they need to take action. Central to the platform is Lakebed™, the company’s AI-first data and knowledge rights management system that ensures brands retain full ownership and control of their expertise.Firsthand is led by Jon Heller, Michael Rubenstein, and Wei Wei, whose previous ventures helped build the foundations of modern digital advertising. Backed by Radical Ventures, FirstMark Capital, Aperiam Ventures, and Crossbeam Venture Partners, Firsthand is shaping the future of AI-driven consumer engagement.Firsthand is headquartered in NYC, with team members working together in-office three days a week.About the RoleWe're at the stage of rapidly expanding the team on a solid foundation! As a highly motivated web engineer, you will be instrumental in building the web components to supercharge our system.Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.Develop and maintain high-quality web applications using modern web technologies and frameworks.Ensure quality through thorough automated testing to support critical business operations.Manage deployment, monitoring, and reliability to be responsible for the full lifecycle of the web product.For this role, we prefer NY-based candidates who can come to the office three days a week, but we are also open to remote applicants within the US. New remote hires must attend in-person onboarding in the NY office their first week.Who You Are4+ years of professional work experience as a web engineer.Bachelor's or Master's degree in Computer Science or a related field.Rock-solid comprehension of software engineering fundamentals. Proficiency in a few programming languages. JavaScript and Python are strongly preferred.Deep experience in web development, including both frontend and backend. Experience in one of the major frontend frameworks such as React/Next.js/Vue.Proficient with relational databases such as Postgres.Strong communication skills. Good at writing concise documents.Desire and passion to work in an early-stage startup. Comfortable handling ambiguity in a fast-paced environment.Our Primary Web TechnologiesReact, Next.js, TypeScript, Zustand, Tailwind CSS, Python, FastAPI, SQLAlchemy, PostgreSQLHow to ApplyIf you are ready to embark on an exhilarating journey at the forefront of AI, seize this incredible opportunity and apply here. We eagerly anticipate hearing from you!Note: Compensation and equity will be market-competitive for well-capitalized, early stage startups and will be discussed during the interview process.

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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?Cohere customers self-serve our API without any intervention. This team unlocks the complex technology we build for customers to understand, trust, and pay for.As a Software Engineer, you will:Improve the platform’s auth, billing, and payment systemsAdd new features to the interactive Playground where customers can try our modelsImplement new platform features for managing deploymentsWrite and ship minimal code that runs in low-resource environments, and has highly stringent deployment mechanismsAs security and privacy are paramount, you will sometimes need to reinvent the wheel, and won’t be able to use the most popular libraries or toolingYou may be a good fit if:You have 2+ years of professional experience writing clean backend code. Our stack includes: Golang and React.You’ve built payment systems and have experience with subscription or usage-based SaaS, and/or products with a freemium model.You have strong coding abilities and are comfortable working across the stack. You’re able to read and understand, and even fix issues outside of the main code base.You’ve been exposed to both large enterprises and startups.You excel in fast-paced environments and can execute while priorities and objectives are a moving target.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.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 6 months for employees based in Canada, the US, and the UK🎨 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 and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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Company OverviewAt Articul8 AI, we're building the next generation of resilient, scalable software systems that help organizations transform their operations. Our commitment to quality and reliability drives our engineering culture, where we continuously test and improve our systems under real-world conditions.Why Join Articul8 AI?Make an Impact: Shape the resilience and reliability of AI-driven systems at scale.Build with Modern Tech: Leverage cutting-edge tools and platforms (Multi-cloud, AI-first tooling).Ownership & Growth: Take ownership of chaos engineering initiatives and influence engineering culture across teams.Continuous Learning: Collaborate with top engineers, participate in mentoring, and stay ahead in chaos engineering and SRE practices.Position SummaryWe are seeking a Senior SDET specializing in chaos engineering and monitoring to join our Quality Engineering team. You will design and implement sophisticated test automation frameworks, create and run chaos experiments to validate our systems' resilience against real-world failures, while ensuring comprehensive monitoring capabilities that provide actionable insights during both testing and production scenarios.Key ResponsibilitiesDesign, develop, and maintain advanced test automation frameworks that incorporate chaos engineering principlesCreate and execute chaos experiments that simulate various failure modes and edge cases in our distributed systemsImplement monitoring solutions that effectively track system performance, resilience, and failure recoveryEstablish observability practices that provide deep insights into system behavior during chaos experimentsCollaborate with development teams to build resilience into our applications from the ground upDevelop metrics and dashboards to visualize system reliability and the impact of chaos experimentsLead post-mortem analyses to identify system weaknesses discovered through chaos testingIntegrate chaos testing into CI/CD pipelines to validate system resilience continuouslyMentor engineers through code reviews, technical sessions, and hands-on guidance in test automation, chaos engineering, and monitoring best practices.Contribute to the company's overall testing strategy and quality assurance practicesQualificationsRequiredBachelor's degree in Computer Science, Engineering, or related field5+ years of experience in software testing and quality assurance, with at least 2 years focused on chaos engineeringStrong programming skills in languages such as Python, Go, and/or RustExperience with chaos engineering tools such as Chaos Monkey, Gremlin, or similar frameworksIn-depth knowledge of monitoring systems like Prometheus, Grafana, ELK Stack, or similar toolsExperience implementing observability practices (metrics, logging, tracing) in distributed systemsFamiliarity with container orchestration platforms like Kubernetes and related chaos toolsExperience with SRE practices and principlesStrong understanding of CI/CD pipelines and how to integrate testing workflowsExperience with cloud platforms (AWS, GCP, Azure) and their monitoring capabilitiesExcellent communication skills with the ability to present technical findings to various stakeholdersPreferredMaster’s degree in Computer Science, Engineering, or related fieldKnowledge of statistical analysis for evaluating test results and system performanceExperience with distributed systems and microservice architecturesContributions to open-source testing or chaos engineering projectsFamiliarity with AI/ML systems and their unique testing challengesRelevant certifications in cloud platforms, testing methodologies, or chaos engineeringReady to shape the future of resilient software systems? Apply now and help drive the reliability of tomorrow’s AI at Articul8 AI!

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Company OverviewAt Articul8 AI, we're building the next generation of resilient, scalable software systems that help organizations transform their operations. Our commitment to quality and reliability drives our engineering culture, where we continuously test and improve our systems under real-world conditions.Why Join Articul8 AI?Make an Impact: Shape the resilience and reliability of AI-driven systems at scale.Build with Modern Tech: Leverage cutting-edge tools and platforms (Multi-cloud, AI-first tooling).Ownership & Growth: Take ownership of chaos engineering initiatives and influence engineering culture across teams.Continuous Learning: Collaborate with top engineers, participate in mentoring, and stay ahead in chaos engineering and SRE practices.Position SummaryWe are seeking a Senior SDET specializing in chaos engineering and monitoring to join our Quality Engineering team. You will design and implement sophisticated test automation frameworks, create and run chaos experiments to validate our systems' resilience against real-world failures, while ensuring comprehensive monitoring capabilities that provide actionable insights during both testing and production scenarios.Key ResponsibilitiesDesign, develop, and maintain advanced test automation frameworks that incorporate chaos engineering principlesCreate and execute chaos experiments that simulate various failure modes and edge cases in our distributed systemsImplement monitoring solutions that effectively track system performance, resilience, and failure recoveryEstablish observability practices that provide deep insights into system behavior during chaos experimentsCollaborate with development teams to build resilience into our applications from the ground upDevelop metrics and dashboards to visualize system reliability and the impact of chaos experimentsLead post-mortem analyses to identify system weaknesses discovered through chaos testingIntegrate chaos testing into CI/CD pipelines to validate system resilience continuouslyMentor engineers through code reviews, technical sessions, and hands-on guidance in test automation, chaos engineering, and monitoring best practices.Contribute to the company's overall testing strategy and quality assurance practicesQualificationsRequiredBachelor's degree in Computer Science, Engineering, or related field5+ years of experience in software testing and quality assurance, with at least 2 years focused on chaos engineeringStrong programming skills in languages such as Python, Go, and/or RustExperience with chaos engineering tools such as Chaos Monkey, Gremlin, or similar frameworksIn-depth knowledge of monitoring systems like Prometheus, Grafana, ELK Stack, or similar toolsExperience implementing observability practices (metrics, logging, tracing) in distributed systemsFamiliarity with container orchestration platforms like Kubernetes and related chaos toolsExperience with SRE practices and principlesStrong understanding of CI/CD pipelines and how to integrate testing workflowsExperience with cloud platforms (AWS, GCP, Azure) and their monitoring capabilitiesExcellent communication skills with the ability to present technical findings to various stakeholderPreferredMaster’s degree in Computer Science, Engineering, or related fieldKnowledge of statistical analysis for evaluating test results and system performanceExperience with distributed systems and microservice architecturesContributions to open-source testing or chaos engineering projectsFamiliarity with AI/ML systems and their unique testing challengesRelevant certifications in cloud platforms, testing methodologies, or chaos engineeringReady to shape the future of resilient software systems? Apply now and help drive the reliability of tomorrow’s AI at Articul8 AI!

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About Scale AI At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI) and building upon our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we produce is some of the most critical work for how humanity will interact with AI. About Our FDE Team Generating high-quality data is the core problem our business solves. We aim to make producing and delivering high-quality data seamless and efficient for operators and customers. Our Team is building customer and operator-specific infrastructure to provide high-quality data with low turnaround time. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with the leading model-building organizations in the space, including the top AI research labs and government agencies.  Join us in shaping the future of Artificial General Intelligence. As a Forward Deployed Engineer, you'll be at the forefront of providing the critical data infrastructure that powers the most advanced AI models, directly influencing how humanity interacts with AI. You will work with the world’s leading AI companies and government agencies to solve their most complex AI data-related problems. Responsibilities: Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies. Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions. End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure. Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation. Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the growth of our team and the evolution of our product. Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, collaborating with leading AI researchers, and directly influencing the product roadmap. You'll work on everything from large-scale system architecture to customer-facing front-end application design. Leadership Growth: This role offers a unique opportunity to lead critical projects, shape our engineering culture, and accelerate your career growth in the rapidly evolving field of Generative AI. You'll be positioned to become a future leader in a company defining the next era of technology. Requirements: At least 2 years of relevant experience is preferred Proven track record of shipping high-quality products and features at scale. Strong problem-solving skills and the ability to work independently or as part of a collaborative team. Desire to thrive in a fast-paced, dynamic environment. Ability to turn business and product ideas into engineering solutions. Strong coding abilities and the ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Ability to adapt quickly to the ever-changing world of generative AI. Excited to join a dynamic, hybrid team in either San Francisco or New York City. Preferred Qualifications: Experience with large-scale data processing and distributed systems. Familiarity with machine learning and AI concepts. Experience working directly with enterprise customers. Experience with cloud-based infrastructure. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$156,000—$195,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Think Different. Build the Future. 🚀Our MissionBuild everyday AGI—trustworthy, consumer-grade agents that redefine human–AI collaboration for millions. Software shouldn’t wait for commands; it should partner with you, amplifying what you can do every single day.Why AGI, Inc.We’re a stealth team of elite ex-founders, Stanford and Berkeley researchers, and DeepMind alumni. With years of agent research, our platform already runs live agent workflows with 99.9% reliability. Our investors funded the first wave of AI giants; now they’re backing us to deliver the next—everyday AGI. If you see possibilities where others see limits, read on.About the RoleYou’ll be one of the very first engineers shaping our core product and reimagining how people integrate AI companions into their day-to-day workflows. Expect to:Think from zero. Whiteboard the concept in the morning and demo it by evening.Own the stack. Backend, frontend, model orchestration, observability—whatever removes friction between idea and shipped product.Bridge research and delight. Sit beside scientists, translate breakthroughs into polished consumer experiences, and push them to production in days, not quarters.Define the bar. Establish the engineering, design, and reliability standards that every future hire will follfow.Move markets. Your features won’t live in a sandbox—they’ll redefine how everyday people trust and collaborate with AI.You’ll be leading initiatives from conceptual design to production deployment, iterating quickly and putting real user feedback at the heart of product decisions. Key ResponsibilitiesCraft end-to-end experiences: Design, code, and ship full-stack features—Python, TypeScript, Postgres, GPU infra—whatever it takes. Design the MCP schema: Create flexible, extensible JSON-based models that represent property context, room types, policies, branding, and more. Integrate core booking systems: Build robust connectors to PMS, CRM, messaging platforms, and booking enginesBuild internal and partner-facing APIs: Develop secure, scalable APIs that ingest, structure, and serve hotel context to downstream AI agents. Engineer for trust: Single-digit-ms paths, sandboxed execution, telemetry everywhere—four nines or it’s broken. Invent agentic primitives: APIs, eval harnesses, and safety guardrails that let wild research ship to millions. Listen, iterate, delight: Sit with users, absorb the pain, and turn feedback into joy—fast. What You BringMust HavesMore than 5 yrs years of professional software engineering experienceStrong backend fundamentals: REST API architecture, distributed systems, cloud deploymentProficiency with JavaScript, React, and other web technologiesProficiency with a backend language (we use Py C. B thon)Some experience with relational databases like Postgres/MySQLDeep experience integrating 3rd-party APIs and building data abstraction layers (bonus: hotel/hospitality tech exposure)Working knowledge of LLM pipelines, embeddings, and context windows (LangChain, OpenAI Assistants API, etc.)Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines.Nice to HavesFamiliarity with travel tech (e.g. Mews, SynXis, Oracle Opera, Cloudbeds)Experience designing or managing structured knowledge graphs or JSON schemasExperience with LLMs, prompt engineering, or function callingFormer founder, or early engineer at a startup who has built a product from scratch is a plusInterest in AI/ML (direct experience not required)

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At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Our Software Engineers deliver high-value products for our customers, and infrastructure that enables our business to scale.Vanta’s team and technology surface are growing quickly, and it’s essential that we invest in the right abstractions and systems to enable us to scale with our business. As a Software Engineer, you’ll be responsible for setting technical direction to enable our product and infrastructure to scale with our business, and driving complex projects across our technical stack. Your past experience will be leveraged to enable and accelerate Vanta’s growth.Our business has found incredible product-market fit and has monetized effectively since the day we signed our first customer. We’re growing at a blistering pace, which presents career-defining opportunities for engineers to accelerate their growth and to contribute to a rapidly-scaling company.As a software engineer on the Test Experience team, you’ll help shape the future of Automated Tests - one of our platform’s most impactful and heavily-used features. Vanta Tests enable customers to continuously track their compliance and security posture, save valuable time managing GRC programs, and generate critical audit evidence effortlessly. You’ll operate at the intersection of platform infrastructure and user experience. Exciting and ambitious opportunities include:Building our next generation of Automated TestsEnhancing the customization and visibility of our monitoring features across inputs, logic, and resultsIntegrating cutting edge LLM tools and AI agents into the full Tests lifecycle - from creation to remediationSupporting Vanta’s rapidly growing customer base (the Tests product is the most used feature in our platform!)Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as a Fullstack Software Engineer, Test Experience at Vanta:Design, develop, and own new product functionality and/or infrastructure leveraging modern frameworks and tooling (TypeScript, React, Node.js)Lead high impact projects with multiple stakeholders and engineers to enable our business and team to scaleWork with talented and kind engineers to make a significant impact on our customer base, enabling them to improve and review their security postureContribute to building Vanta’s engineering culture as we growHow to be successful in this role:Have at least 2 years of full stack experienceHave strong expertise with JavaScript/TypeScript and ReactHave a passion for high visibility customer facing features, with a strong eye for detailHave experience applying AI in products, or a strong interest in exploring this spaceHave a product-mindset who empathizes with users and is driven to solve their problemsHave an interest in learning about security or prior experience in the spaceWhat you can expect as a Vantan:Industry-competitive compensation100% covered medical, dental, and vision benefits with dependents coverage16 weeks fully-paid parental Leave for all new parentsHealth & wellness and remote workplace stipendsFamily planning benefits through Carrot Fertility401(k) matchingFlexible work hours and locationOpen PTO policy11 paid holidays in the USOffices in SF, NYC, London, Dublin, and SydneyTo provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors and may vary based on candidate location, skills, depth of work experience, and relevant licenses/credentials. #LI-remoteAt Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply.About VantaWe started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security. From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged. Now more than ever, making security continuous—not just a point-in-time check— is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust— all in a way that's real-time and transparent.