Strategic Deployment Engineer, Chanakya

Highlights

• Own full-lifecycle AI deployments in air-gapped and classified environments.
• Serve as embedded technical SPOC driving client trust and system success.
• Deploy sovereign AI platform with population-scale impact across India.

Ideal candidate

Forward-deployed owner who thrives in ambiguity and high-pressure client settings. You bias to action, own outcomes end-to-end, and find energy in the hardest, least-understood problems.

Requirements

• 3–6 years in software or ML engineering, with at least one full-cycle on-prem or enterprise deployment delivered end-to-end
• Production-grade experience in Python, Docker, Linux systems administration, REST APIs, and CI/CD pipelines
• 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
• Proven ability to navigate ambiguous client requirements and make the call without explicit guidance