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AI Engineer

AI Engineer

Tipstat®navi mumbai, maharashtra, in
30+ days ago
Job description

Role

  • LLM Workflow Builder – design and wire up prompts, tools, memory and agents with LangChain / LangGraph / LangServe.
  • API & Micro-Service Owner – ship FastAPI endpoints (REST + streaming) that are secure, observable and lightning fast.
  • End-to-End Engineer – own the full lifecycle : code → container → CI / CD → K8s → monitoring, with a bias for rapid, iterative releases.
  • Cross-Functional Partner – collaborate with product and design to scope MVPs, estimate effort, and keep delivery on track.

Responsibilities

  • Architect, implement and maintain multi-agent workflows and retrieval-augmented pipelines.
  • Write clean, typed, tested Python (async, pytest, poetry).
  • Instrument and evaluate everything with LangSmith / LangFuse; build guardrails and regression suites for prompts.
  • Containerize (Docker) and deploy (Kubernetes, GitHub Actions) with automated rollbacks and alerts.
  • Optimize latency, throughput and cost; troubleshoot production issues end-to-end.
  • Mentor teammates on best practices in LLM app engineering and DevOps.
  • Must-Have Skills

  • Strong Python craftsmanship and async I / O expertise.
  • Proven experience with LangChain or LangGraph in real projects.
  • FastAPI (or similar) for building REST / streaming APIs.
  • Solid DevOps : Docker, basic Kubernetes, CI / CD pipelines, observability tooling.
  • Git proficiency : PR hygiene, code reviews, and clear documentation.
  • Nice-to-Haves

  • Lightweight fine-tuning (LoRA / QLoRA) or embedding-model selection.
  • Vector databases (Postgres / pgvector, Milvus, LanceDB).
  • Serverless / edge deploys (Fly.io, Cloudflare Workers, AWS Lambda).
  • Experience with multi-agent planning frameworks or autonomous tool-use research.
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