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Medium — metro location and senior role, but specialized LLM/agentic skills limit broad applicant competition.
High — specialized agentic-LLM production expertise and enterprise compliance needs limit cross-industry portability.
High — requires explicit 8+ years, mandatory LLM production experience, leadership and specific technical skills.
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Own the design and technical direction of the intelligence layer for an agentic AI platform, including LLM orchestration, retrieval-augmented generation (RAG), multi-agent systems, and tool integration.
Lead and mentor a team of 4-8 agentic AI engineers with hands-on involvement in coding, design reviews, and delivery ownership.
Ensure real-time, low-latency voice conversation support with cost and performance engineering, including evaluation, observability, and compliance for enterprise-scale deployments.
8+ years of software or ML engineering experience, with at least 2 years in production LLM-based or agentic AI systems.
Strong hands-on expertise in LLM orchestration frameworks, RAG pipelines, multi-agent system design, and backend engineering primarily using Python.
Experience leading engineers in technical roles such as tech lead or staff engineer, including mentorship and delivery ownership.
Location requirement: Bengaluru, in-office collaboration.
Experienced in building and scaling complex AI systems with a focus on live, sub-second latency voice and chat interactions for enterprise clients.
Proven ability to lead and grow small senior engineering teams in sprint-driven, roadmap-based product environments.
Technically deep and pragmatic engineer comfortable balancing framework use and custom solutions, with strong distributed systems knowledge (queues, Redis, Kubernetes).