Ai engineer

2 weeks ago

Bengaluru, India Tipstat® Full time

RoleLLM Workflow Builder – design and wire up prompts, tools, memory and agents with Lang Chain / Lang Graph / Lang Serve.API & Micro-Service Owner – ship Fast API 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.ResponsibilitiesArchitect, implement and maintain multi-agent workflows and retrieval-augmented pipelines.Write clean, typed, tested Python (async, pytest, poetry).Instrument and evaluate everything with Lang Smith / Lang Fuse; build guardrails and regression suites for prompts.Containerize (Docker) and deploy (Kubernetes, Git Hub 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 Dev Ops.Must-Have SkillsStrong Python craftsmanship and async I/O expertise.Proven experience with Lang Chain or Lang Graph in real projects.Fast API (or similar) for building REST / streaming APIs.Solid Dev Ops: Docker, basic Kubernetes, CI/CD pipelines, observability tooling.Git proficiency: PR hygiene, code reviews, and clear documentation.Nice-to-HavesLightweight fine-tuning (Lo RA/QLo RA) or embedding-model selection.Vector databases (Postgres/pgvector, Milvus, Lance DB).Serverless / edge deploys (Fly.io, Cloudflare Workers, AWS Lambda).Experience with multi-agent planning frameworks or autonomous tool-use research.

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