AI Systems & Agentic Engineer
Design and implement deterministic agentic execution pipelines, custom tool harnesses, and LLM workflow orchestrations that power our micro-SaaS product fleet.
Key Responsibilities
- Architect resilient state-machine agent runners with deterministic guardrails around stochastic model outputs.
- Integrate state-of-the-art LLM APIs, structured outputs (JSON/JSON Schema), and local tool executions.
- Build automated testing, trace evaluation, and fallback boundaries for production agent workflows.
- Collaborate on lightweight micro-SaaS backends using Node.js / TypeScript, Python, and serverless edge runtimes.
Requirements & Background
- Strong production experience in TypeScript and Python.
- Hands-on experience with LLM APIs, prompt engineering, agent frameworks, or custom workflow engines.
- Deep understanding of system reliability, API schema enforcement, and async task queues.
- A bias toward simple, maintainable architectures over unnecessary complexity.