Location: San Francisco Bay Area (Hybrid or In-Office)
Experience: 5–7 years
Company Stage: Stealth, VC-backed
Employment Type: Full-time
About the Role
We’re looking for a Senior Full-Stack Agent Engineer who’s excited about building data-centric AI products in Python and/or TypeScript. In this role, you’ll work directly with the founders to design and build the full end-to-end AI product experience from user-facing interfaces to agent workflows and integrations.
If you thrive in zero-to-one environments, care deeply about product quality, and want significant ownership, you’ll fit right in.
Our core technologies include Python, Rust, and Kubernetes.
What You’ll Do
- Build and own full-stack features end-to-end across frontend, backend, and agent layers
- Develop agentic workflows and integrations using tools like LlamaIndex or LangChain
- Create intuitive developer-facing experiences and interfaces
- Help define engineering best practices, architecture, and culture as an early technical leader
- Collaborate closely with founders on product direction, UX, and customer feedback loops
What We’re Looking For
- 5-7 years of software engineering experience
- Strong full-stack engineering background
- Deep experience with:
- Frontend: React
- Backend: Python
- AI Stack: LlamaIndex and/or LangChain
- Experience working with cloud infrastructure (AWS or GCP)
- Strong understanding of:
- System design & scalability
- Data modeling
- Security and privacy best practices
- Comfortable operating in fast-moving, ambiguity-heavy, zero-to-one environments
- Product-driven mindset with strong user empathy
What We Offer
- Base Salary Range: ~$150K-$180K per year
- Additional Compensation: Eligible for discretionary equity options
- Benefits: Competitive benefits package
Final compensation will depend on skills, experience, market conditions, and location.
Why Join
- Founding-level ownership and long-term upside
- Work directly with the founders on product, architecture, and engineering strategy
- High agency, high impact: shape the product, engineering culture, and customer experience from day one
- Build category-defining technology at the frontier of data and agentic AI