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Metro Bengaluru location and mid-seniority AI role increase applicant density despite niche LLM skills.
Specialized agentic LLM, evaluation, and LLMOps expertise limits cross-industry transferability, raising background sensitivity.
Explicit 6+ years plus mandatory LLMOps, production, and leadership requirements make shortlisting highly strict.
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Lead the design, delivery, and operational ownership of complex AI/ML systems—including agents, copilots, and platform services—within critical business domains.
Set and maintain technical quality standards, drive incident response, and elevate engineering autonomy and standards in the India team without direct reports.
Collaborate closely with business owners to translate ambiguous problems into well-defined, production-ready AI systems with measurable outcomes.
6+ years of software engineering experience with a track record of leading design and delivery of complex production systems.
Hands-on expertise in modern AI systems: LLMs, agents, retrieval-augmented generation, prompt/version control, evaluation, and observability for non-deterministic outputs.
Experience building or operating agentic systems or orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen, Semantic Kernel), including debugging system failure modes.
Location: Bengaluru, India; mandatory collaboration across time zones with US teams; must be proficient in at least one production language (Python, Go, TypeScript, or Java).
Proven ability to independently lead multi-person technical workstreams on AI/ML platform components that impact enterprise business systems.
Strong competence in implementing operational discipline for autonomous AI systems, including governance, capability boundaries, and safety controls.
Skilled at business-technical translation, engaging with domain experts (finance, HR, sales) to create scoped, trusted AI-native systems in complex regulated or enterprise environments.