Senior Full Stack Engineer - Python, TS, Kubernetes | San Francisco, CA(On-site)

San Francisco, CA | On-site (5 days/week)

We're looking for an ambitious Full-Stack Software Engineer to join one of the fastest-growing AI infrastructure companies in the industry.

The company works closely with leading AI research labs, building the data infrastructure, evaluation systems, and tools that help advance the next generation of AI and agentic workflows.

This is an opportunity to work on challenging, non-commodity engineering problems, take ownership of critical systems, and have a meaningful impact from day one.

Why consider this opportunity?

• Work at the forefront of AI: Collaborate with leading AI labs and build infrastructure powering next-generation AI models and agentic workflows.
• Exceptional scale: Join a company already generating nine-figure annual revenue, with rapid growth and significant market traction.
• Real ownership: Take responsibility for core systems and projects from initial concept to production.
• Exceptional team: Work alongside founders and engineers with backgrounds in top quantitative trading firms, investment banking, private equity, and technology.
• High-impact environment: Join a fast-paced, talent-dense team where ideas move quickly and individual contributions matter.
• Competitive compensation: $260K–$290K base salary, with an estimated OTE of $460K–$690K, plus competitive equity.

What you'll be doing

This is a broad engineering role with end-to-end ownership. Your work will span multiple areas of the technology stack, depending on the challenges and priorities of the team.

• Design and build scalable systems, including reinforcement learning environments, APIs, and human-in-the-loop platforms.
• Develop full-stack applications and internal tools used by AI researchers and customers.
• Build and deploy distributed experiments and infrastructure using Kubernetes.
• Develop data pipelines and real-time analytics systems.
• Collaborate closely with research, product, and design teams to turn complex problems into working solutions.
• Improve system reliability, scalability, and performance.
• Participate in technical discussions, architecture decisions, and code reviews.

What we're looking for

Technical experience

• 2–5+ years of professional software engineering experience, ideally in full-stack development.
• Strong experience with React and Next.js.
• Backend development experience with Node.js and/or Python.
• Familiarity with Kubernetes and distributed systems.
• Ability to work across the stack and take ownership of projects end to end.

Tech stack

Python, TypeScript/JavaScript, Kubernetes, Next.jS, React, Node.js, Kafka, Redis, Elasticsearch,

Cloud Platforms: AWS, GCP

Background

• Experience at a high-growth, venture-backed startup, a reputable quantitative trading firm, or as a founding engineer at a well-funded company.
• Alternatively, experience at a leading technology company combined with a strong Computer Science background from a top university.
• A degree in Computer Science or a related technical field from a reputable university.

What matters beyond technical skills

• Strong ownership mentality and a bias toward execution.
• Ability to work independently and move quickly in an environment with changing priorities.
• Strong communication skills and confidence collaborating directly with AI researchers and technical stakeholders.
• Genuine curiosity about AI, infrastructure, and solving difficult engineering problems.

Nice to have

• Experience with Kafka, Redis, or Elasticsearch.
• Previous experience at an AI data or human-in-the-loop company.
• Exposure to reinforcement learning, AI evaluation, or distributed experimentation.
• Exceptional internships at highly selective technology companies (particularly relevant for early-career candidates).

Compensation & Location

• Base salary: $260,000–$290,000
• Estimated OTE: $460,000–$690,000
• Equity: Competitive equity package
• Location: Financial District, San Francisco
• Working model: On-site, Monday–Friday, with flexible start and finish times
• Employment: Full-time
• Visa: Open to visa transfers, including H-1B and OPT transfers

Interested in taking on your next engineering challenge?

If you're excited about building complex systems, shaping the future of AI infrastructure, and having real ownership from day one, we'd love to hear from you.

Apply directly or send me a message to learn more about the opportunity!

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