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AI Engineer
Tipstat®Bengaluru, Karnataka, India30+ days ago
Job descriptionArchitect, 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. 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. 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.
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.
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Ai Engineer • Bengaluru, Karnataka, India
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