Backend Engineer AI Agent Infrastructure

You’ll own the backbone that lets our AI agents actually do things: orchestration, tool-calling, memory, and the services that turn model output into reliable product behavior. This is the difference between a demo and a product.

What you’ll build

• Agent orchestration and tool-use frameworks (planning, function/tool calling, multi-step workflows)
• Retrieval and memory systems (vector stores, RAG pipelines, context management)
• Robust APIs and event-driven services that the rest of the team builds on
• Guardrails, retries, fallbacks, and observability so agents behave under real-world conditions

Do you have experience in React?, * Strong backend experience in Python, Go, TypeScript/Node, or similar

• Hands-on experience building AI agents and integrating LLM APIs (OpenAI, Anthropic, open models, etc.)
• Experience with agent frameworks and patterns (tool calling, ReAct-style loops, orchestration libraries) and vector databases
• Comfort designing APIs, data models, queues, and cloud infrastructure (AWS/GCP, containers)
• A bias toward shipping and measuring, then hardening

Nice to have

• Experience running LLM evals and prompt/version management in production
• Fine-tuning, model serving, or inference optimization experience
• Background scaling systems from zero to first real users

$1.00 - $131,109.86 a year - Full-time, Compensation: Equity only. No cash salary at this stage. Founder-level equity with a standard vesting schedule (typically 4 years / 1-year cliff - final terms set in your offer).

Education: No degree required. We don’t care where (or whether) you went to college - only what you’ve built and how fast you learn.

Stage: Stealth-mode startup. We can’t share everything publicly yet; once we’re talking (and an NDA is in place) you’ll get the full picture.