Job Description

We are looking for a senior Python engineer to build the integration layer that lets our LLM agents act on real systems. You will own the backend service through which agentic products — chatbot and future agentic systems — invoke internal APIs across the company. The current transport protocol for this layer is MCP (Model Context Protocol).

You are going to work closely with our AI Engineers. They build agent logic; you build the reliable, ergonomic surface they call. The split lets each side focus: agent reasoning on one side, backend integrations and reliability on the other.

Future Responsibilities

Design and ship integrations that LLMs can use effectively.

  • Design tool APIs with attention to schema clarity, error message quality, and idempotency — agents reason about your responses, so wording and structure matter
  • Own each integration end-to-end: auth, rate limiting, retries, safe defaults for destructive or sensitive operatio...

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