Lead Engineer ( Agentic AI)
On-siteBengaluru, Karnataka, India
Job Summary
Architect and deliver production-grade multi-agent systems using LangGraph, AutoGen, or CrewAI, integrating LLM reasoning layers with React dashboards and Java microservices. Lead design reviews for scalable, secure, and observable infrastructure while driving the migration of rule-based financial workflows to LLM-native agentic pipelines. Define technical standards, establish coding practices, and oversee RAG pipeline design including chunking strategies, embedding model selection, and retrieval optimization. Mentor a team of 3–6 engineers through sprint planning, code reviews, and senior technical hiring, ensuring compliance-aware guardrails like PII masking and hallucination detection are implemented. Requires 5–8 years of full-stack experience with deep expertise in LLM orchestration, vector search, and cloud-native AWS environments.
Required Qualifications
- 5–8 years of full-stack engineering experience
- at least 1-2 years in AI/LLM product development
- Very strong problem solving capability
- Doing HLD and LLD for a given problem
- Good understanding of data structures, algorithms
- Good Understanding of CI/CD pipelines and test driven development
- Proven experience building production LLM-powered products — prompt engineering, agent orchestration, output validation
- Hands-on with LangChain, LangGraph, AutoGen, or equivalent agent frameworks
- Strong understanding of RAG, vector search, and embedding-based retrieval
- Experience with Kafka or similar message brokers
- familiarity with event-driven architecture patterns
- Kubernetes, Docker, and cloud-native AWS experience at production scale
- Proven track record of leading engineering teams and delivering complex projects end-to-end
- Excellent communication — able to translate AI system behaviour to product, business, and compliance stakeholders
- Strong systems thinker with the ability to decompose complex financial workflows into reliable automated steps
- B.E. / B.Tech / M.Tech in Computer Science or equivalent
Desired Qualifications
- advanced degree a plus
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