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Protocol Intelligence
Data-driven signals on your job's competitivenessNiche LLM and agentic AI requirements reduce applicant pool despite Bangalore metro location.
Role requires specialized LLM, agentic AI, and MLOps expertise, limiting cross-industry transferability.
Explicit 10+ years plus mandated LLM, MLOps, cloud, and leadership experience enforces high shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Lead and mentor a multidisciplinary team of AI Engineers and Data Scientists delivering GenAI, agentic AI, and ML-powered solutions from design through production and continuous improvement.
Own end-to-end delivery and architecture decisions for LLM systems, agent orchestration, RAG, ML pipelines, and cloud-native AI services ensuring scalability, security, and operational readiness.
Own hiring, performance management, and foster engineering excellence including SDLC discipline, code/model reviews, and collaboration with product and platform teams.
Minimum Requirements
10+ years in software engineering or AI/ML engineering with production-grade intelligent systems experience.
4-5+ years leading or delivering AI/ML/GenAI/LLM-powered solutions in enterprise or product environments.
Strong expertise in Python backend engineering, LLM platforms (e.g., Azure OpenAI, LangChain), retrieval-augmented generation, ML model development, and MLOps practices.
Location: Bangalore (Hybrid). Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced technical leader capable of guiding senior engineers and data scientists on architecture, implementation trade-offs, and engineering standards across AI/ML and GenAI.
Strategic operator comfortable translating business needs into scalable AI/ML engineering deliverables with strong delivery accountability and product ownership mindset.
Skilled in managing build-own-operate environments with deep knowledge of AI governance, operational excellence, and cross-functional collaboration.