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Tier-1 employer, metro locations and mid-level experience increase competition but niche LLM sovereign skills limit applicants.
Requires specialized LLM, sovereign deployment and regulated-industry experience, limiting cross-industry transferability.
Requires 3+ years LLM production experience and regulated-deployment expertise, enforcing strict technical and domain filters.
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Own end-to-end design, build, and operationalization of AI-assisted developer productivity solutions focusing on code generation and knowledge retrieval.
Deploy secure, scalable AI solutions including sovereign/air-gapped AI systems for regulated industries like BFSI, government, defence, and healthcare.
Evaluate and optimize AI coding tools across metrics such as accuracy, latency, cost, and compliance with Indian data localisation regulations.
Minimum 3+ years experience working on LLM/generative AI systems in production environments.
Degree required: B.E./B.Tech/M.Tech/MS in CS, AI/ML, or equivalent.
Experience deploying AI tools in regulated sectors (BFSI, government, defence, healthcare) and knowledge of India-specific data localisation laws (DPDP Act 2023) and guidelines (MeitY / CERT-In).
Base location must be Bengaluru, Delhi, or Mumbai.
Strong technical proficiency with transformer architectures, fine-tuning techniques (LoRA, QLoRA, PEFT), and AI model evaluation methodologies.
Experience with sovereign/air-gapped AI deployments and building retrieval-augmented code pipelines using advanced tools like tree-sitter, vector search, and code embeddings.
Capability to architect and implement complex AI systems including coding agents and reference architectures for enterprise-scale, secure AI deployments.