Back
Tier-1 brand, metro locations, and a mid-level LLM role increase candidate competition.
Highly specialized LLM, fine-tuning, and sovereign deployment expertise limits cross-industry transferability.
Explicit 3+ years LLM production experience, regulated deployment expertise, and specific tech stack make filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and operationalize AI-assisted developer productivity solutions focusing on Generative AI and Large Language Models in regulated enterprise environments.
Architect and implement AI-powered coding assistants, fine-tune foundation models, and build retrieval-augmented systems over private enterprise codebases.
Enable secure AI adoption in sovereign, on-premises, and air-gapped environments while evaluating AI tools for accuracy, latency, cost, data security, and IDE support.
3+ years of experience specifically with Large Language Models and generative AI systems in production environments.
Experience deploying AI development tooling in regulated sectors such as BFSI, government, defense, or healthcare.
Bachelor's or Master's degree in Computer Science, AI, ML, or equivalent (B.E./B.Tech/MTech/MS).
Location requirement: Bengaluru, Delhi, or Mumbai bases; work involves secure/sovereign/on-prem environment familiarity.
Strong expertise in transformer architectures and related fine-tuning/ adaptation techniques for code models (e.g., LoRA, QLoRA).
Experience with India's data localization laws and regulatory guidelines (DPDP Act 2023, MeitY/CERT-In) and deployment in sovereign and air-gapped settings.
Skilled at building complex AI coding agents using frameworks like LangGraph, CrewAI, AutoGen, and integrating static code analysis and code embedding technologies.