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Implementation Engineer, AI Agents

Build, wire, and harden the agents that run inside client operations: tools, memory, evals, and the glue that makes them reliable.

Location
Hyderabad / Remote
Type
Full-time
Level
Mid
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About the role

Implementation Engineers make agents dependable. You take a prototype and turn it into something an enterprise can trust on the 10,000th document the same way it trusted the first.

You’ll work inside a Forward Deployed Team alongside a PM and an FDE, owning the integration surface: the tools the agent calls, the data it reads, the evals that catch regressions.

What you'll own
  • Implement agent tools, integrations, and data pipelines against real client systems.
  • Build evaluation suites so agent quality is measured, not assumed.
  • Wire human-in-the-loop checkpoints and observability into every deployment.
  • Debug nondeterministic failures and tighten prompts, retrieval, and guardrails.
What we're looking for
  • 2+ years shipping backend or full-stack software in production.
  • Solid Python or TypeScript; comfortable with APIs, queues, and databases.
  • You’ve integrated third-party / internal systems and lived with the edge cases.
  • Curious about LLM behaviour and rigorous about testing it.
Nice to have
  • Hands-on with vector stores, RAG, or agent orchestration.
  • Experience building internal tooling or workflow automation.
Stack & tools
PythonTypeScriptClaude / LLMsGantryPostgresRedis

Apply: Implementation Engineer, AI Agents

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Why this role?

We reply to every applicant, usually within a week.