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backend engineer, api Jobs in San Francisco

backend engineer, api

backend software engineer Jobs in San Francisco

backend software engineer

backend software engineer, api platform Jobs in San Francisco

backend software engineer, api platform

full stack developer

LiteLLM

<div><h1 class="jobSectionHeader">Technical Product Manager</h1>
LiteLLM is the world's most popular AI Gateway, trusted by companies like Adobe, Netflix, and NASA. We're building the next generation of infrastructure for AI applications&mdash;and now we're building our second product.
We're looking for a Technical Product Manager who wants to work directly with the founders to figure out what developers need, ship quickly, and build products that thousands of engineering teams use every day.<h2 class="jobSectionHeader"> 
About the Role</h2>
This isn't a traditional product management role, and it isn't a traditional software engineering role.
NOTE: You will spend 50% of your time coding, and 50% of your time talking to users.
You'll spend your time talking to customers, understanding their problems, designing solutions, writing production code, and shipping features. One week you might build a new authentication flow, the next week you're redesigning an onboarding experience, integrating with a new provider, or launching an entirely new product.
If you enjoy owning a problem end-to-end&mdash;from idea to production&mdash;you'll thrive here.<h2 class="jobSectionHeader"> 
Responsibilities</h2><ul><li>
Build new product features from concept to production.</li><li>
Work directly with customers to understand pain points and validate solutions.</li><li>
Ship quickly while maintaining a high quality bar.</li><li>
Prototype new ideas and iterate based on user feedback.</li><li>
Own major product areas and continuously improve them over time.</li><li>
Design backend APIs and services using Python and FastAPI.</li><li>
Build intuitive developer experiences across our API, dashboard, and CLI.</li><li>
Collaborate directly with the founders on product direction and technical decisions.</li><li>
Help define and build LiteLLM's second major product.</li></ul><h2 class="jobSectionHeader"> 
What We're Looking For</h2><ul><li>
Bachelor's or Master's degree in Computer Science or a related field.</li><li>
Experience as a product manager or associate product manager at a company</li><li>
Strong software engineering fundamentals.</li><li>
Experience building production software, preferably with Python.</li><li>
Comfortable moving across the stack when needed (backend, frontend, infrastructure, APIs).</li><li>
Strong product intuition and curiosity about how customers use software.</li><li>
Excellent written and verbal communication.</li><li>
High ownership&mdash;you naturally identify problems and solve them without waiting to be asked.</li><li>
Comfortable operating in ambiguity and making decisions with incomplete information.</li><li>
Excited by shipping quickly and learning from real users.</li></ul><h2 class="jobSectionHeader"> 
Bonus Points</h2><ul><li>
Experience at an early-stage startup.</li><li>
Experience building developer tools or infrastructure products.</li><li>
Open source contributions.</li><li>
You've built and launched your own product.</li><li>
Familiarity with AI infrastructure, LLMs, or developer platforms.</li></ul><h2 class="jobSectionHeader"> 
Why Join LiteLLM?</h2><ul><li>
Work directly with the founders every day.</li><li>
Build products used by thousands of engineering teams around the world.</li><li>
Own meaningful product decisions&mdash;not just implementation.</li><li>
Move incredibly fast and see your work in production immediately.</li><li>
Help define the future of AI infrastructure and developer tooling.</li><li>
Competitive salary, equity, health, dental, and vision benefits.</li></ul><h2 class="jobSectionHeader"> 
About LiteLLM</h2>
LiteLLM is the world's most widely adopted AI Gateway. We provide a unified API for 100+ LLM providers along with routing, authentication, budgets, observability, and governance for production AI systems. Thousands of companies rely on LiteLLM to power AI in production.
If you love talking to users, building products, and shipping software that people actually use, we'd love to meet you.
Compensation Range: $200K - $260K</div>

Technical Product Manager

Outcast

<div>Join Outcast
At Outcast, we don&rsquo;t just follow the future; we help shape it. We&rsquo;re a strategic communications agency trusted by the world&rsquo;s most groundbreaking startups and established technology brands. From AI to frontier tech, our clients are redefining what&rsquo;s possible, and we&rsquo;re the storytellers behind their success.
With deep expertise across earned, owned, and paid media, our teams craft narratives that cut through complexity and drive real impact. Backed by our global partnership in Marker Collective and as part of the Next15 Group, we bring bold thinking, creative storytelling, and data-driven strategy to every engagement.
We&rsquo;re looking for an Account Supervisor to join our San Francisco team. We want someone who understands emerging technology at a fundamental level and is excited to help translate complex innovations into stories that resonate with both technical and business audiences.
About You
You&rsquo;re a strategic communicator with a deep curiosity for how technology works, not just what it does. You&rsquo;re fluent in the language of AI, developer platforms, and emerging tech, and you know how to turn complex concepts into compelling narratives that land with both technical and non-technical audiences.
You bring a strong point of view to your work, and senior clients rely on you for perspective and counsel. You lead with clarity and accountability, balancing high-level strategy with strong execution. You build and develop high-performing teams, create structure, and foster an environment where people grow.
You&rsquo;ve ideally worked with developer audiences, whether through APIs, infrastructure, open source, or enterprise platforms, and understand how to engage this community with credibility and nuance. You are an empathetic, reliable leader who builds strong client partnerships and navigates a fast-changing communications landscape with agility.
What You Do<ul><li>
Lead strategy and day-to-day oversight across multiple client accounts, ensuring alignment with business goals</li><li>
Serve as a senior advisor to executive stakeholders, delivering proactive counsel</li><li>
Shape positioning and messaging for emerging tech and AI companies, simplifying complex concepts into clear, differentiated stories</li><li>
Build and execute proactive media strategies, securing top-tier and trade coverage across business, tech, and AI-focused outlets</li><li>
Develop and oversee integrated communications programs across media relations, executive visibility, thought leadership, and campaigns</li><li>
Drive major announcements, product launches, funding news, and narrative development</li><li>
Identify timely storytelling opportunities tied to industry trends and cultural moments</li><li>
Maintain and strengthen relationships with top-tier media, analysts, and influencers</li><li>
Oversee quality of all deliverables, ensuring work is strategic, polished, and on brief</li><li>
Manage scopes of work, budgets, forecasting, staffing, and account profitability</li><li>
Lead client strategy meetings and act as a central point of contact for account health</li><li>
Guide teams in planning and execution with a big-picture perspective</li><li>
Support crisis communications with clear strategy and recommendations</li><li>
Develop high-level messaging and positioning; lead or support media training</li><li>
Identify organic growth opportunities and contribute to new business efforts</li><li>
Partner with cross-functional teams to deliver integrated programs</li><li>
Mentor and develop team members through coaching and feedback</li></ul>
Who You Are<ul><li>
8&ndash;10+ years of experience in public relations, corporate communications, or integrated marketing</li><li>
3&ndash;5+ years of experience managing and developing high-performing teams</li><li>
Deep experience in emerging tech, including AI/ML, developer platforms, cloud infrastructure, cybersecurity, or enterprise SaaS</li><li>
Experience working with or marketing to developer audiences (e.g., APIs, open source, technical products, engineering leaders)</li><li>
Proven success advising senior leaders and managing complex, multi-workstream programs</li><li>
Demonstrated ability to manage budgets, resourcing, and client profitability</li><li>
Exceptional writer and editor with experience shaping executive messaging and positioning</li><li>
Strong media acumen with an understanding of today&rsquo;s evolving earned landscape</li><li>
Confident communicator who can lead meetings, workshops, and strategic discussions</li><li>
Comfortable operating in fast-paced, high-growth environments with multiple stakeholders</li><li>
Champion the use of AI tools and emerging tech to enhance writing, research, and content production efficiency</li><li>
Bachelor&rsquo;s degree in Communications, Journalism, Marketing, or related field preferred</li></ul>
Why Outcast
A competitive compensation package, including:<ul><li>
Annual salary range of $125,000&ndash;$165,000 DOE</li><li>
401k with match</li><li>
Generous employer contributions toward insurance premiums</li><li>
Paid mental health benefits</li><li>
Unlimited vacation</li><li>
15+ paid holidays plus a paid end-of-year office closure</li><li>
Paid short-term disability and extensive parental leave benefits</li><li>
Cell phone reimbursement</li></ul>
Who We Are
Outcast is a strategic communications agency that helps startups and established brands shape the future through creative storytelling and data-driven strategies. With expertise across earned, owned, and paid media, we offer services like media relations, thought leadership, and content development. Our US and UK hubs enable global support, strengthened by our joint venture as Marker Collective and as part of the Next15 Group. We provide counsel that&rsquo;s impactful, not just convenient, guiding clients through tough challenges as dedicated partners and truth-tellers. Our values&mdash;centered on inclusivity, innovation, and partnership&mdash;drive results for brands at every stage of growth.
Outcast is an equal opportunity employer. We are committed to building a workplace where inclusivity, creativity, and innovation thrive. We do not discriminate against any applicant or employee based on race, color, national origin, sex, gender identity, sexual orientation, age, disability, religion, veteran status, or any other characteristic protected by law.</div>

Account Director (AI / Emerging Tech)

Miso Labs

<div>At Miso Labs, our goal is to pass the voice Turing test. In order to do so, we must move beyond the current STT-&gt;LLM-&gt;TTS paradigm, and train full-duplex speech-to-speech models. This requires exploring new architectural ideas, and scaling them rapidly.
We&rsquo;ve raised a large seed round from top investors and are hiring our founding research team. We&rsquo;re a small team, so you can expect to work on every part of the model training stack from small-scale architecture experiments, to large pre-training runs on up to 1000 H100s. We are an in-person culture in San Francisco, and you will be expected to relocate to the SF area (we will cover the moving costs).
It is important to us that team members get credit for their work. Outside of our core IP, researchers are encouraged to publish their work in conferences, and we are happy to sponsor travel to top conferences in AI/ML.
Preferred Qualifications:<ul><li>
Have a Bachelor&rsquo;s Degree in a technical field (Computer Science, Physics, Mathematics etc.) or equivalent experience</li><li>
Excited to work on all aspects of model training and development</li><li>
Are comfortable with both research and hands-on engineering</li><li>
Are capable of owning long-term research outcomes end-to-end</li><li>
Willing to learn technical skills quickly, in a self-directed manner</li><li>
Prior experience with both PyTorch and CUDA</li></ul>
If you&rsquo;re interested in this role, please apply even if you don&rsquo;t fit all the qualifications. We&rsquo;re more interested in evidence of exceptional ability than prior experience in deep learning/AI.
This role comes with full benefits including:<ul><li>
Healthcare, vision, and dental</li><li>
Stipend for gym</li><li>
Relocation bonus</li></ul>
Compensation Range: $400K - $500K</div>

Founding Researcher

Heliux

<div>
 
 About Heliux
 
 
 
 Heliux is a software platform that unifies and accelerates enterprise-wide operations for manufacturers. Our centralized operating system models cross-functional teams, workflows, and data into a single system of execution.
 
 
 Powering organizations across engineering, planning, supply chain, production, quality, accounting, and more, Heliux enables manufacturers to intelligently optimize end-to-end operational and financial performance.
 
 
 Headquartered in San Francisco, CA, Heliux is on a mission to drive unprecedented velocity in manufacturing. We&rsquo;re proudly backed by New Stack Ventures, Marlinspike, Humba Ventures, Amplify.LA, Crosscut Ventures, and Lux Capital.
 
 
 
 About The Role
 
 
 
 Engineers at Heliux are directly responsible for end-to-end design, development, and delivery of our core software platform:
 
 
 <ul>
 <li>
 Acquire expertise in hardware engineering and manufacturing through immersive, hands-on problem-solving with our customers.
 </li>
 <li>
 Rapidly design, build, test, deliver, and maintain complex software systems that are performant, reliable, and scalable.
 </li>
 <li>
 Contribute to the high-level technical direction of both the organization and the platform to ensure we are always accelerating the velocity of our work.
 </li>
 <li>
 Relentlessly solve any and all technical problems that stand in the way of company objectives&mdash;and therefore, our success.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Proven experience building complex, scalable software systems from zero-to-one&mdash;i.e., problem identification to production-grade solution.
 </li>
 <li>
 Demonstrated proficiency in programming languages such as Rust, Python, Java, TypeScript, or similar.
 </li>
 <li>
 Inherent desire to operate with extreme levels of urgency across all aspects of life and work.
 
 
 </li>
 </ul>
 
 About Our Stack
 
 
 
 <ul>
 <li>
 Frontend: React, TypeScript, NextJS, ThreeJS
 </li>
 <li>
 Backend: Rust, Python w/ FastAPI and Flask
 </li>
 <li>
 Database &amp; Infra: PostgreSQL, DynamoDB, Standard and Government AWS: RDS, S3, ECS, SQS
 </li>
 <li>
 Runtime: Electron, Docker
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Competitive compensation package, including company equity.
 </li>
 <li>
 Healthcare coverage across medical, dental, and vision.
 </li>
 <li>
 Unlimited PTO.
 </li>
 <li>
 Monthly company-sponsored lunches and/or outings.
 
 
 </li>
 </ul>
 All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law.
 
 
 
 ITAR Requirements
 
 
 
 To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C.
 
 
 <ul>
 <li>
 1157, or (iv) Asylee under 8 U.S.C.
 </li>
 <li>
 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
 </li>
 </ul>
</div>

Software Engineer

David Joseph & Company

<div>San Francisco, CA &middot; On-site &middot; Full-time 
Compensation: $120,000&ndash;$300,000 + Competitive Equity<h2 class="jobSectionHeader">
About the Company</h2>
An early-stage, venture-backed FinTech building AI compliance analysts that automate AML, KYC, KYB, and transaction monitoring end-to-end for banks and fintechs. The product operates inside browsers, APIs, and internal systems the way a human analyst would, and is already live with financial institutions across multiple regions.
Founded 2024 &middot; Seed stage &middot; Small team &middot; Industry: FinTech<h2 class="jobSectionHeader">
The Role</h2>
A backend-leaning Member of Technical Staff building the end-to-end systems that power production AI compliance workflows &mdash; high-performance infrastructure, reliability, and backend architecture supporting mission-critical automation.
What you'll be doing<ul><li>
Architect agent behaviors and build the backend systems behind production AI compliance workflows</li><li>
Build browser agents that navigate legacy systems, portals, and third-party platforms, interpreting unstructured data</li><li>
Process risk signals at the speed money moves &mdash; millions of transactions, sub-second decisions &mdash; via distributed inference, caching, queue orchestration, and self-healing data pipelines on AWS</li><li>
Contribute to an in-house deep-research pipeline that keeps LLMs from conflating similar entities</li><li>
Optimize ML pipelines and ship product features, owning problems vertically</li></ul>
Tech stack: Python, AWS; browser automation, computer vision, LLM systems.<h2 class="jobSectionHeader">
Requirements</h2><ul><li>
Experience with backend development and/or ML, especially in Python and AWS</li><li>
Hands-on experience deploying software to production environments</li><li>
Strong communication skills and willingness to interact with clients</li></ul><h2 class="jobSectionHeader">
Green Flags</h2><ul><li>
Experience with browser automation and computer vision</li><li>
Background with distributed inference and optimization on AWS</li><li>
Familiarity with LLM systems and deep research pipelines</li><li>
Experience building systems that process millions of transactions at scale</li><li>
Knowledge of compliance, AML, KYC, or financial crime domains</li><li>
Competitive coding background</li><li>
Contributions to open-source projects or personal projects on GitHub</li><li>
Prior experience as a founder or at an early-stage startup</li></ul><h2 class="jobSectionHeader">
Red Flags</h2><ul><li>
Candidates from a pure data science background who lack strong technical skills</li><li>
Lack of hands-on experience deploying software to production</li><li>
Primarily academic or research experience without practical engineering work</li></ul><h2 class="jobSectionHeader">
Why Join</h2><ul><li>
Build frontier AI agents in production, solving hard problems with no off-the-shelf answers</li><li>
Large, underserved market with real customer traction and measurable impact</li><li>
Small team with wide surface area &mdash; own features end-to-end across backend, ML, and product</li></ul><h2 class="jobSectionHeader">
Details</h2><ul><li>
Location: San Francisco, CA</li><li>
Work policy: On-site</li><li>
Compensation: $120,000&ndash;$300,000 + equity</li><li>
Visa sponsorship: H-1B, O-1, OPT</li><li>
Experience: 1+ years</li><li>
Employment type: Full-time</li></ul></div>

Member of Technical Staff

<div>San Francisco, CA &middot; On-site &middot; Full-time 
Compensation: $180,000&ndash;$220,000 + competitive equity<h2 class="jobSectionHeader">
About the Company</h2>
An early-stage (post&ndash;Series A) company building the training data and evaluation infrastructure that frontier AI labs use to improve their models &mdash; designing high-signal datasets and running rigorous evaluations that go beyond static benchmarks. A small team where individual contributors have direct impact on how the next generation of models learns. The company has raised $30M (~$300M valuation), with a founding team drawn from Jane Street, Citadel, Google, Goldman, and Stanford AI Lab.
Founded 2025 &middot; 11&ndash;50 people &middot; Industry: Consumer Tech<h2 class="jobSectionHeader">
The Role</h2>
As a SWE (Environments), you'll design the datasets and evaluation rubrics that directly influence how frontier models learn &mdash; going from hypothesis to live experiment quickly, with output feeding directly into model training runs at scale.
What you'll be doing<ul><li>
Design data slices and explore data shapes that expose meaningful model failure modes across domains like finance, code, and enterprise workflows</li><li>
Build and refine evaluation rubrics and reward signals for RLHF and RLVR training pipelines</li><li>
Model annotator behavior and run experiments to improve different model capabilities</li><li>
Develop quantitative frameworks for measuring dataset quality, diversity, and downstream impact on model alignment and capability</li><li>
Create and manage both real-world and synthetic data pipelines</li><li>
Partner with lab research teams to translate their training objectives into concrete data and evaluation specifications</li></ul>
Tech stack: Not specified<h2 class="jobSectionHeader">
Requirements</h2><ul><li>
1&ndash;4 years of software engineering experience with strong technical depth</li><li>
Design targeted data slices that surface model failure modes across high-stakes domains (finance, code generation, enterprise workflows)</li><li>
Build and iterate on evaluation rubrics and reward signals powering RLHF and RLVR training pipelines</li><li>
Develop quantitative frameworks to measure dataset quality, diversity, and downstream impact on model alignment and capability</li><li>
Own end-to-end real world and synthetic data pipelines, from scoping with research teams to production-ready evaluation specs</li><li>
Run annotator modeling experiments to improve model capabilities across task types</li></ul><h2 class="jobSectionHeader">
Green Flags</h2><ul><li>
Experience at RL environment companies</li><li>
Background in AI safety or benchmarking organizations like METR or Artificial Analysis</li><li>
Genuine obsession with how data structure, selection, and quality drive model behavior</li><li>
Ability to design lightweight experiments and move fast</li><li>
Former founders or early engineers at early stage startups</li><li>
Demonstrated ability to work hard, learn fast, and care deeply about details</li></ul><h2 class="jobSectionHeader">
Red Flags</h2><ul><li>
Pure research profile with limited engineering output, this is a SWE role, shipping matters</li><li>
Looking for standard product engineering work &mdash; the real scope is data pipelines, reward modeling, and eval infra</li></ul><h2 class="jobSectionHeader">
Why Join</h2><ul><li>
Outsized total cash: base plus substantial profit share, plus competitive equity</li><li>
Direct impact on frontier AI model development, working with the world's leading AI labs</li><li>
High ownership on a small, early team &mdash; scope, build, and ship end to end</li></ul><h2 class="jobSectionHeader">
Details</h2><ul><li>
Location: San Francisco, CA</li><li>
Work policy: On-site</li><li>
Compensation: $180,000&ndash;$220,000 + equity</li><li>
Visa sponsorship: O-1, OPT</li><li>
Employment type: Full-time</li></ul></div>

Software Engineer, RL Environments

Greptile

<div>
 We want to build agents that autonomously validate code changes. Today that looks like AI that reviews pull requests in GitHub, catching bugs and enforcing standards. We&rsquo;re reviewing close to 1B lines of code a month now for over 3,000 companies.
 
 
 
 Problems We&rsquo;re Excited About
 
 
 
 <ul>
 <li>
 Coding standards can be idiosyncratic and are often poorly documented; can we build agents that learn them through osmosis like a new hire might?
 </li>
 <li>
 Can we identify for each customer what types of PR feedback they do and don&rsquo;t care about, perhaps using some sample efficient RL, in order to increase signal-to-noise ratio?
 </li>
 <li>
 Some bugs are best caught by running the code, potentially against discerning AI-generated E2E tests. Can we autonomously deploy feature branches and use agents to parallel try to break the application to detect bugs?
 
 
 </li>
 </ul>
 
 Trajectory
 
 
 
 <ul>
 <li>
 7,000+ customers
 </li>
 <li>
 Raised $30M from Benchmark, YC, Paul Graham, Initialized
 
 
 </li>
 </ul>
 
 Team
 
 
 
 <ul>
 <li>
 We have assembled a small, talent dense team who have scaled critical functions at companies like Stripe, Google, Figma, LinkedIn, etc.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 BS in Computer Science or equivalent
 </li>
 <li>
 Some research experience, ideally with ML/LMs/Agents
 </li>
 <li>
 Strong programming skills and good product intuition
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Experiment with and apply recent advancements in agents/LMs etc. to improve the performance and capabilities of our products
 </li>
 <li>
 Example: you might study multi-agent architectures, prototype and evaluate a multi-agent code review workflow, and then work with a team to integrate successful prototypes into production systems
 </li>
 <li>
 Stay current with the latest research in LLMs, information retrieval, and developer tooling
 
 
 </li>
 </ul>
 Compensation Range: $180K - $280K
 
 
</div>

Research Engineer

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