Senior AI ML Engineer

Location: Chennai, Pune & Hyderabad

Below are the mandatory skills/experience required for this role:

• Hands-on with frameworks like LangChain, CrewAI, AutoGen.
• Strong in RAG architectures, tool-calling, memory, reflection/critique loops.
• Proven delivery of at least one production-grade multi-agent GenAI system.
• Python proficiency (preferred language for agentic workflows).
• Familiarity with cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex, Anthropic APIs).
• Experience designing persona catalogs, system prompts, tone/authority boundaries.
• Ability to operationalize persona adaptation within agent flows (not post-processing).
• Hands-on RCA in complex systems (network, IT ops, customer journeys).
• Embedding RCA methodologies (5 Whys, Ishikawa, fault tree) into agent workflows.
• Integration with observability tools (logs, metrics, traces, events).
• Knowledge of guardrails, PII handling, access control, auditability, responsible AI practices.
• Ability to enforce policy-bound behavior in enterprise contexts.
• End-to-end program ownership (design → pilot → hypercare).
• Experience in regulated industries (telecom, finance, healthcare).
• Strong stakeholder management and ability to present outcomes in business-friendly language.
• 8–12 years in AI/ML, software engineering, or data science.
• 2–3+ years specifically in GenAI / agentic systems.
• Must have delivered at least one production or late-stage pilot of a multi-agent GenAI system.