Lead Agentic AI Engineer

Experience:
8+ Years

Role:
Lead Agentic AI Engineer

Employment Type:
Full time

Budget : ~70 LPA

About the Role

We are looking for a
Lead Agentic AI Engineer
to drive the design, development, and delivery of next-generation
AI-powered and Agentic AI applications
. The ideal candidate will combine strong software engineering expertise in
Java and Python
with hands-on experience in
LLMs, RAG, LangChain, LangGraph, AI Agents, and modern GenAI architectures
.

This role requires an engineer who can build scalable, high-performance AI applications, modernize legacy systems, and work across backend, APIs, and AI/ML engineering. You will play a key role in architecting intelligent agents and integrating LLM capabilities into enterprise applications.

Key Responsibilities

Agentic AI & GenAI Engineering
- Design, develop, and deploy
Agentic AI applications and intelligent AI agents
using LLMs and modern AI frameworks.
- Build
RAG-based applications
including document ingestion, chunking, embeddings, vector search, retrieval, reranking,



and contextual generation.
- Develop multi-step AI workflows and autonomous agent systems using
LangChain, LangGraph
, or equivalent frameworks.
- Integrate LLMs with enterprise APIs, databases, knowledge bases, and external tools.
- Design agent
tool-calling, memory, planning, orchestration, and workflow execution
capabilities.
- Evaluate and optimize LLM/Agent performance, reliability, latency, and response quality.
- Apply appropriate
prompt engineering, guardrails, observability, evaluation, and security practices
for production AI systems.
- Stay current with emerging developments in
Generative AI, Agentic AI, LLMs, RAG, and AI engineering
.

Software Engineering
- Develop robust, scalable, and high-performance applications using
Java, Java 8+, multithreading, concurrency, and design patterns
.
- Design and implement clean, maintainable, and production-grade software components.
- Refactor and modernize lega

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