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Protocol Intelligence
Data-driven signals on your job's competitivenessSenior GenAI lead in Bengaluru with specialized production and LLMOps requirements limits applicant pool.
Deep GenAI production, LLMOps, and model architecture focus makes background fit highly domain-sensitive.
Explicit 9+ years, 2+ years GenAI, production deployment and LLMOps needs create high shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and scale production-grade Generative AI applications focusing on AI assistants, retrieval, reasoning, and automation systems.
Lead technical execution and architecture decisions ensuring AI systems are reliable, secure, cost-efficient, observable, and measurable at scale.
Collaborate cross-functionally to identify AI opportunities, take concepts through production, optimize based on user feedback, and ensure measurable business impact.
Minimum Requirements
8+ years of experience building applied AI/ML intelligent software systems.
2+ years of practical Generative AI application experience with at least one production GenAI application deployed at meaningful scale.
Strong expertise in production AI systems including RAG, agentic workflows, retrieval, grounding, fine-tuning, LLM orchestration, and related frameworks such as LangChain, LangGraph, or LlamaIndex.
Strong programming and software engineering skills, particularly in Python, with experience building and deploying production-quality AI applications.
Ideal Candidate Profile
Experienced technical leader comfortable owning end-to-end AI/ML application lifecycle from architecture to production operations.
Deep hands-on proficiency in Generative AI, with demonstrated ability to move AI solutions beyond prototype to reliable, scalable production deployments.
Strategic collaborator able to balance technical quality, business impact, security, and cost while working with cross-functional product, engineering, and business teams.