Strategic Deployment Engineer, Chanakya

Own end-to-end deployment of Sarvam's full AI stack in client environments — on-prem, air-gapped, classified infrastructure, and complex enterprise accounts.

Serve as technical SPOC for assigned accounts, from scoping and PoC through to steady-state operations.

Diagnose and resolve integration failures, model drift, inference issues, and infrastructure breakdowns without escalation ladders.

Surface field learnings that feed back into the product layer and replicable deployment library.

Hands-on experience with LLM inference stacks — vLLM, TGI, Ollama, or equivalent — and RAG architectures and vector stores.

Experience deploying in constrained environments: air-gapped networks, limited connectivity, non-standard hardware, or complex regulatory requirements.

Full-stack debugging instinct — comfortable diagnosing across infrastructure, networking, and application layers without a specialist to hand.

Demonstrated ability to ship and maintain a working system end-to-end in environments where reliability was non-negotiable.