software engineer

software engineer (all levels) Jobs in San Francisco

software engineer (all levels)

ai engineer (slam)

ai engineer (vlm & vla) Jobs in San Francisco

ai engineer (vlm & vla)

ai engineer, ai & data platforms (aidp) Jobs in San Francisco

ai engineer, ai & data platforms (aidp)

fullstack software engineer ai agents

<div>
 
 Why 11x Now
 
 
 
 At 11x, we're building autonomous digital workers that handle routine work end-to-end, freeing humans to focus on what they do best&mdash;creating, innovating, and building meaningful relationships. We're one of the world&rsquo;s fastest-growing AI companies. We've achieved a 20x increase in ARR and raised $75M+ from leading investors including a16z and Benchmark. Our team works in-person in our San Francisco office.
 
 
 
 About The Role
 
 
 
 We're looking for a fullstack engineer with a passion for applied research and cross-functional collaboration. In this role, you&rsquo;ll work closely with engineering leadership and our AI partners to prototype, build, and scale the next generation of autonomous digital workers.
 
 
 This is an immersive opportunity to deepen your expertise in large language model applications, system design, and human-AI interaction&mdash;while learning how fast-moving AI companies operate from the inside. You&rsquo;ll gain hands-on exposure to the latest model capabilities, contribute to internal experimentation, and help translate cutting-edge ideas into real-world tools.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design, build, and iterate on fullstack systems that power AI agents from concept to deployment.
 </li>
 <li>
 Research and evaluate new approaches to agent orchestration, prompting strategies, and model alignment.
 </li>
 <li>
 Collaborate with product, design, and engineering teams to improve UX and usability for non-technical users.
 </li>
 <li>
 Share learnings, document findings, and contribute to the evolution of internal best practices.
 </li>
 <li>
 Participate in peer reviews, brainstorming sessions, and technical deep dives with our global team.
 
 
 </li>
 </ul>
 
 Ideal Candidates Have
 
 
 
 <ul>
 <li>
 3+ years of experience in a product-oriented software engineering role.
 </li>
 <li>
 A strong foundation in Typescript, React, NextJS, and NodeJS.
 </li>
 <li>
 Experience working in fast-paced environments with a track record of rapid learning and iteration.
 </li>
 <li>
 Interest in research, technical writing, or contributing to knowledge-sharing within a team.
 </li>
 <li>
 Bonus: experience with large language models, prompt engineering, or AI infrastructure.
 
 
 </li>
 </ul>
 Base salary range: $150,000 &ndash; $250,000
 
 
 <ul>
 <li>
 Final offer will be based on a variety of factors, including role level, relevant experience, skills, and job-related expertise.
 
 
 </li>
 </ul>
 
 11x 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.
 
</div>

Fullstack Software Engineer, AI Agents

Giga

<div>
 
 About Giga
 
 
 
 Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We&rsquo;re building the next generation of customer experience &mdash; real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world&rsquo;s largest enterprises.
 
 
 It&rsquo;s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers.
 
 
 The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us:
 
 
 <ul>
 <li>
 Voice AI startup Giga raises $61M Series A
 </li>
 <li>
 DoorDash and Giga Partnership
 
 
 </li>
 </ul>
 Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply!
 
 
 
 The Role
 
 
 
 We're looking for software engineers to help build the systems that power our AI agents. You'll work across the backend, from data pipelines and integrations to agent infrastructure, shipping features alongside experienced engineers who will help you grow.
 
 
 This is a role where you'll contribute to real problems from day one. We expect you to ramp up quickly, take ownership of your work, and operate with increasing independence as you learn the codebase.
 
 
 
 What You'll Work On
 
 
 
 You'll contribute to projects across our stack. Some examples:
 
 
 <ul>
 <li>
 Atlas: Building features for our AI assistant: charts and alerts in Slack, natural language queries, and expanding Atlas to manage platform resources
 </li>
 <li>
 Activity Stream: Log visualization with filters, timestamps, and frequency charts to give visibility into agent behavior
 </li>
 <li>
 Dynamic knowledge: Adding time-based knowledge (like ongoing incidents) that auto-updates from sources like status pages
 </li>
 <li>
 Agent memory: Conversation awareness and recent interaction lookups so agents remember context across sessions
 
 
 </li>
 </ul>
 As an early-career engineer, you'll be paired with senior engineers on larger initiatives while also owning smaller projects end-to-end as you ramp up.
 
 
 
 You Might Be a Fit If You
 
 
 
 <ul>
 <li>
 Have 1-3 years of professional software engineering experience
 </li>
 <li>
 Are curious and ask good questions&mdash;you want to understand why things work, not just how
 </li>
 <li>
 Can take feedback well and iterate quickly
 </li>
 <li>
 Prefer shipping over perfection but still care about quality
 </li>
 <li>
 Want to grow at a startup where you'll have real responsibility early
 
 
 </li>
 </ul>
 
 Perks &amp; Benefits
 
 
 
 <ul>
 <li>
 Catered lunch daily
 </li>
 <li>
 Dinner stipend
 </li>
 <li>
 $150/month wellness benefit (gym, fitness classes, mental health)
 </li>
 <li>
 401(k) plan
 </li>
 <li>
 Paid parental leave (12 weeks maternal, 6 weeks paternal)
 </li>
 <li>
 Commuter benefits
 </li>
 <li>
 Medical, dental, and vision coverage
 
 
 </li>
 </ul>
 Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.
 
 
 Compensation Range: $160K - $250K
 
 
</div>

Software Engineer I / II - San Francisco

Airbyte

<div>Airbyte is the open‑source standard for data movement. We've enabled data teams to move data from applications, APIs, unstructured sources and databases to data warehouses, lakes, and AI applications. With tens of thousands of connectors built and hundreds of thousands of companies adopting Airbyte, we've proven the economics of data integration at scale. And now Airbyte is building the frontier agentic data infrastructure, purpose-built for AI agents that need fast, accurate access to data across hundreds of sources. Our mission: make data available and actionable, everywhere.
We've raised $181M from the world's top investors (Benchmark, Accel, Altimeter, Coatue, Y Combinator, etc.) and we believe in product-led growth, where we build something awesome that all our users love. We&rsquo;ve raised enough capital to explore boldly, but we still choose to move quickly, stay scrappy, and experiment constantly as we find the right paths in an AI-native landscape.<h2 class="jobSectionHeader">
The Role:</h2>
As a Senior Product Advocate at Airbyte, you will be a key hire bridging marketing and the developer community for our new agentic data infrastructure product. You'll create technical content, build demos, and represent Airbyte in the AI engineering community. If you're someone who can build a compelling product demo and then turn that into a blog post, video walkthrough, or conference talk, this is the role for you.<h2 class="jobSectionHeader">
What You&rsquo;ll Do:</h2><ul><li>
Build demos, sample projects, and technical walkthroughs that showcase how Airbyte's agentic data infrastructure gives AI agents fast, accurate access to business data</li><li>
Create technical content including blog posts, tutorials, and video walkthroughs that educate the AI engineering community and drive inbound interest</li><li>
Collaborate closely with Marketing to amplify product messaging, support campaigns, and grow awareness among AI engineers</li><li>
Partner with AI framework teams (LangChain, Pydantic AI, CrewAI, and others) to build integrations and co-create content</li><li>
Represent Airbyte at meetups, conferences, and online communities in the AI agent ecosystem</li><li>
Engage with developers across GitHub, Discord, Twitter/X, and YouTube, answering questions, gathering feedback, and spotlighting community projects</li><li>
Work with influencers and technical creators in the AI engineering community to expand Airbyte's reach</li><li>
Bring customer and community insights back to Product, Engineering, and Marketing to inform roadmap and positioning</li></ul><h2 class="jobSectionHeader">
What You&rsquo;ll Need:</h2><ul><li>
3+ years of technical experience in a customer-facing or community-facing role, such as developer relations, technical content creation, solutions engineering, or technical support</li><li>
Strong written and verbal communication skills, with the ability to make complex technical topics clear and compelling</li><li>
Technical foundation (whether through a degree, bootcamp, or hands-on experience) that enables you to continuously deepen your understanding of Airbyte's technology and the AI agent ecosystem</li><li>
Comfort working with AI coding tools to build demos, prototypes, and sample projects. You don't need to be a software engineer, but you should be able to ship things</li><li>
A builder mentality. You're comfortable getting hands-on with the product, creating demos, and shipping content</li><li>
Comfort operating in a fast-paced, early-stage environment where the playbook is still being written</li></ul><h2 class="jobSectionHeader">
Nice To Have:</h2><ul><li>
Experience creating technical content (blog posts, videos, tutorials) for a developer audience</li><li>
Comfortable on camera for video walkthroughs, conference talks, or podcast appearances</li><li>
Familiarity with AI agent frameworks like LangChain, CrewAI, Pydantic AI, or similar projects</li><li>
Familiarity with data infrastructure concepts like ELT, CDC, and real-time sync</li><li>
Previous experience in both marketing and developer relations or community roles</li></ul><h2 class="jobSectionHeader">
Location:</h2><ul><li>
Onsite 5 days/week in San Francisco, CA</li></ul>
If you find this role exciting, we encourage you to apply even if you think you don&rsquo;t meet all of the requirements!
Airbyte is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, physical or mental disability, pregnancy, genetic information, sex, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, veteran or military status, or any other legally recognized protected basis under federal, state or local laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Airbyte is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodations due to a disability.
Compensation Range: $130K - $150K</div>

Senior Product Advocate

Pomelo Care

<div>
 
 About Us
 
 
 
 Pomelo Care is the national leader in evidence-based healthcare for women and children. We deliver personalized, high-quality clinical interventions from reproductive care and pregnancy, infant care and pediatrics, to hormonal health through perimenopause and menopause, with long-term preventive care and condition management. Our model delivers 24/7 multispecialty care to address the medical, behavioral, and social factors that most significantly impact outcomes for women and children. We partner with payers, employers, and providers to expand access to quality healthcare across the system.
 
 
 Our engineering team is the engine behind our virtual care platform, building AI-powered solutions that transform care delivery and create exceptional experiences for both patients and clinicians. If you're passionate about using technology to do real, tangible good in the world, we'd love to meet you.
 
 
 We are a remote-first company with offices in New York and San Francisco. Our New York office has a strong in-person culture with regular collaboration, and our San Francisco office is available for those who enjoy working together in person.
 
 
 What You'll Do
 
 
 As a Software Engineer At Pomelo, You Will Be a Key Contributor To Your Team, Building And Refining The Technology That Underpins Everything We Do. On Any Given Day, You May
 
 
 <ul>
 <li>
 Write clean, well-tested code to ship new features and keep our platform running smoothly
 </li>
 <li>
 Collaborate on designing and implementing new systems that enable our clinical team to deliver personalized, data-driven care
 </li>
 <li>
 Contribute to our AI-powered tools, building agents that help clinicians work more effectively and focus on the patient in front of them
 </li>
 <li>
 Enhance our mobile experience, ensuring parents and families feel connected and supported throughout their journey
 </li>
 <li>
 Work closely with product managers, designers, and clinical staff to understand user needs and translate them into technical solutions
 
 
 </li>
 </ul>
 Who You Are
 
 
 You're An Enthusiastic And Collaborative Engineer Who Enjoys Solving Meaningful Problems. You Have a Knack For Finding Practical Solutions And Are Motivated By Seeing Your Work Have a Direct Impact On Users. In Particular, You
 
 
 <ul>
 <li>
 Have a strong foundation in computer science, typically from a bachelor's or master's degree, or equivalent professional experience
 </li>
 <li>
 Have at least two years of experience building and shipping high-quality software using languages like Java, C#, Kotlin, Python, Go, or similar
 </li>
 <li>
 Have experience developing applications with modern front-end frameworks like React or Vue.js
 </li>
 <li>
 Have experience delivering and maintaining software systems in a production environment
 </li>
 <li>
 Are keeping up with trends in LLM coding agents to multiply your engineering impact
 </li>
 <li>
 Enjoy tackling complex problems and avoid unnecessary complexity
 
 
 </li>
 </ul>
 
 We'll Be Especially Excited If You
 
 
 
 <ul>
 <li>
 Have prior experience in AI/ML, natural language processing, or building agent-based systems
 </li>
 <li>
 Have previously worked in a fast-paced, product-oriented environment
 
 
 </li>
 </ul>
 Why You Should Join
 
 
 By Joining Pomelo, You Will Help Shape The Future Of a Fast-moving, Well-funded, And Mission-driven Startup That Always Puts The Patient First. You Will Learn, Grow, And Be Challenged, And Have Fun With Your Team While Doing It. We Strive To Create An Environment Where Employees From All Backgrounds Are Respected. We Also Offer
 
 
 <ul>
 <li>
 Competitive healthcare benefits
 </li>
 <li>
 Generous equity compensation
 </li>
 <li>
 Unlimited vacation
 </li>
 <li>
 Membership in the First Round Network (a curated and confidential community with events, guides, thousands of Q&amp;A questions, and opportunities for 1-1 mentorship)
 
 
 </li>
 </ul>
 
 At Pomelo, we are committed to hiring the best team to improve outcomes for all mothers and babies, regardless of their background. We need diverse perspectives to reflect the diversity of problems we face and the population we serve. We look to hire people from a variety of backgrounds, including but not limited to race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.
 
 
 
 
 Our salary ranges are based on paying competitively for our company&rsquo;s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Pomelo Care. In accordance with New York City, Colorado, California, and other applicable laws, Pomelo Care is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Given that this role is open to candidates of different skill levels, determining a salary range is challenging. A reasonable estimate of the current salary range is $160,000 to $220,000. We expect most candidates to fall in the middle of the range.
 
 
 
 
 Potential Fraud Warning
 
 
 
 
 Please be cautious of potential recruitment fraud. With the increase of remote work and digital hiring, phishing and job scams are on the rise with malicious actors impersonating real employees and sending fake job offers in an effort to collect personal or financial information.
 
 
 
 
 Pomelo Care will never ask you to pay a fee or download software as part of the interview process with our company. Pomelo Care will also never ask for your personal banking or other financial information until after you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All official communication with Pomelo Care People Operations team will come from domain email addresses ending in @pomelocare.com.
 
 
 
 
 If you receive a message that seems suspicious, we encourage you to pause communication and contact us directly at careers@pomelocare.com to confirm its legitimacy. For your safety, we also recommend applying only through our official Careers page. If you believe you have been the victim of a scam or identity theft, please contact your local law enforcement agency or another trusted authority for guidance.
 
 
 
</div>

Software Engineer (All Levels)

Hayden AI

<div>
 
 About Us
 
 
 
 At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.
 
 
 From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.
 
 
 
 Job Title:
 
 Machine Learning Operations Engineer
 
 
 
 Company:
 
 Hayden AI Technologies, Inc.
 
 
 
 Location:
 
 460 Bryant Street, Suite 100, San Francisco, CA 94107
 
 
 
 Position Duties
 
 
 
 <ul>
 <li>
 Optimize orchestration processes to ensure efficient deployment and management of AI models.
 </li>
 <li>
 Implement cost-saving strategies to minimize infrastructure expenses while maximizing performance.
 </li>
 <li>
 Upgrade throughput to enhance scalability and responsiveness of AI systems.
 </li>
 <li>
 Collaborate with cross-functional teams to identify bottlenecks and implement solutions to improve workflow efficiency.
 </li>
 <li>
 Ship new features and updates rapidly while maintaining high levels of quality and reliability.
 </li>
 <li>
 Deploy and monitor machine learning models produced by deep learning engineers.
 </li>
 <li>
 Design, deploy, and maintain performant and scalable processes for data acquisition and manipulation to enhance dataset accessibility.
 </li>
 <li>
 Participate actively in the team's software development process, including design reviews, code reviews, and brainstorming sessions.
 </li>
 <li>
 Maintain accurate and updated software development documentation.
 
 
 </li>
 </ul>
 
 Degree Requirements
 
 
 
 Bachelor of Science or Engineering degree or a foreign equivalent in Robotics, Machine Learning, Computer Science, Electrical Engineering, Electronics and Telecommunication Engineering, or a related field.
 
 
 
 Experience Requirement
 
 
 
 One (1) year of work experience in the job offered or as a Deep Learning Engineer, Perception Engineer II, MLOps, Research Engineer II, Machine Learning, Computer Vision Intern, or another related deep learning engineer role.
 
 
 
 Other Special Requirements
 
 
 
 <ul>
 <li>
 One (1) year of work experience with all of the following:
 </li>
 <ul>
 <li>
 Deploying real-world applied computer vision (including deep learning models) on edge devices
 </li>
 <li>
 Python programming and software design
 </li>
 <li>
 C++
 </li>
 <li>
 Software development tools and libraries including PyTorch, OpenCV, TensorFlow, MLflow
 </li>
 <li>
 Automated data annotation
 </li>
 <li>
 Distributed training in the cloud
 </li>
 <li>
 Deploying and managing GPU clusters for ML pipelines and workflows
 
 </li>
 </ul>
 </ul>
 
 Rate of Pay:
 
 $135,699.00 to $190,000.00 per year
 
 
 
 Location of Position and Interview:
 
 
 
 Hayden AI Technologies, Inc.
 
 
 460 Bryant Street, Suite 100
 
 
 San Francisco, CA 94107
 
 
 
 Applicants Should Submit Resumes To
 
 
 
 Janet Le-Mcintosh
 
 
 janet.le@hayden.ai
 
 
 Hayden AI Technologies, Inc.
 
 
 460 Bryant Street, Suite 100
 
 
 San Francisco, CA 94107
</div>

Machine Learning Operations Engineer

<div>
 
 About Giga
 
 
 
 Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We&rsquo;re building the next generation of customer experience &mdash; real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world&rsquo;s largest enterprises.
 
 
 It&rsquo;s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers.
 
 
 The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us:
 
 
 <ul>
 <li>
 Voice AI startup Giga raises $61M Series A
 </li>
 <li>
 DoorDash and Giga Partnership
 
 
 </li>
 </ul>
 Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply!
 
 
 
 The Role
 
 
 
 We're looking for new grad engineers to help build the systems that power our AI agents. You'll work across the backend, from data pipelines and integrations to agent infrastructure, shipping features alongside experienced engineers.
 
 
 This is a role where you'll contribute to real problems from day one. We expect you to ramp up quickly, take ownership of your work, and operate with increasing independence as you learn the codebase.
 
 
 
 What You'll Work On
 
 
 
 You'll contribute to projects across our stack. Some examples:
 
 
 <ul>
 <li>
 Atlas: Building features for our AI assistant: charts and alerts in Slack, natural language queries, and expanding Atlas to manage platform resources
 </li>
 <li>
 Activity Stream: Log visualization with filters, timestamps, and frequency charts to give visibility into agent behavior
 </li>
 <li>
 Dynamic knowledge: Adding time-based knowledge (like ongoing incidents) that auto-updates from sources like status pages
 </li>
 <li>
 Agent memory: Conversation awareness and recent interaction lookups so agents remember context across sessions
 
 
 </li>
 </ul>
 You'll be paired with senior engineers on larger initiatives while also owning smaller projects end-to-end as you ramp up.
 
 
 
 You Might Be a Fit If You
 
 
 
 <ul>
 <li>
 Are graduating (or recently graduated) with a CS degree or equivalent background
 </li>
 <li>
 Have internship experience or significant projects where you wrote production-quality code
 </li>
 <li>
 Can take a problem, figure out an approach, and unblock yourself when you get stuck
 </li>
 <li>
 Prefer shipping over perfection but still care about quality
 </li>
 <li>
 Want to work at a startup where you'll have real responsibility early
 
 
 </li>
 </ul>
 
 Perks &amp; Benefits
 
 
 
 <ul>
 <li>
 Catered lunch daily
 </li>
 <li>
 Dinner stipend
 </li>
 <li>
 $150/month wellness benefit (gym, fitness classes, mental health)
 </li>
 <li>
 401(k) plan
 </li>
 <li>
 Commuter benefits
 </li>
 <li>
 Medical, dental, and vision coverage
 
 
 </li>
 </ul>
 Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.
 
 
 Compensation Range: $160K - $250K
 
 
</div>

Software Engineer (New Grads) - San Francisco

OpenAI

<div>
 We&rsquo;re building the next generation of OpenAI&rsquo;s internal developer experience, whether they&rsquo;re working human-only, agent-only, or fully hybrid. As AI changes how software gets written, reviewed, tested, and shipped, we are reimagining the best practices in the software development lifecycle, and integrating our dev infra and tooling into a seamless yet powerful offering.
 
 
 This role lives at the intersection of product design, engineering craft, and real-world scale. We&rsquo;re looking for a
 
 product-minded engineer
 
 who can own end-to-end experiences across multiple UI/UX surfaces across our internal tooling ecosystem, with a strong taste for interaction design and a keen eye for developer&rsquo;s needs.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Own major product areas end-to-end: problem discovery, UX iteration, technical design, implementation, rollout, and ongoing improvements.
 </li>
 <li>
 Partner closely with engineers and internal stakeholders to understand pain points and translate them into simple, effective UI/UX for core developer workflows.
 </li>
 <li>
 Integrate and iterate on AI-empowered DevEx that balances capability vs simplicity/control.
 </li>
 <li>
 Set a high bar for performance, reliability, and usability, providing a world-class product experience for every engineer at OpenAI.
 
 
 </li>
 </ul>
 
 You might thrive in this role if you
 
 
 
 <ul>
 <li>
 Have 5+ years of professional engineering experience (excluding internships) building user-facing products.
 </li>
 <li>
 Are a strong frontend engineer or a full-stack engineer with deep UI instincts, and modern web fundamentals (TypeScript, React, component design, state management).
 </li>
 <li>
 Have built products in zero-to-one environments, or owned a product surface with ambiguous requirements and high urgency.
 </li>
 <li>
 Have experience building internal tools, enterprise tools, or workflow-heavy products for technical users.
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI 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&rsquo;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 Policy
 
 
 At 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.
 
 
 Compensation Range: $185K - $490K
</div>

Software Engineer, Full-Stack — Developer Experience

Explore 141+ Fullstack software engineer ai agents in San Francisco this March. Find roles across top companies and apply now to boost your career.