We are looking for an experienced Agentic AI Tech Lead to drive the design, development, and deployment of next-generation AI solutions. This is a leadership role for a highly skilled professional with proven expertise in building and scaling production-grade AI systems.

Location : Kolkata (Hybrid)

Experience : 6+ Years (Mandatory)

Joining Preference : Immediate to 30 Days Notice Period Preferred

We have successfully completed hiring for our junior AI positions and are now seeking a senior technical leader capable of architecting and delivering enterprise-scale AI solutions.

Key Responsibilities :

- Architect and lead the development of Agentic AI and Multi-Agent Systems

- Design, implement, and optimize production-grade RAG (Retrieval-Augmented Generation) frameworks

- Build scalable AI applications leveraging modern LLM ecosystems

- Develop intelligent workflows using LangGraph, LangChain, and LlamaIndex

- Implement knowledge graph-driven AI solutions and vector database architectures

- Establish AI observability, monitoring, governance, and performance optimization frameworks

- Collaborate with cross-functional teams to integrate AI capabilities into enterprise applications

- Drive AI platform scalability, reliability, and operational excellence

- Mentor engineering teams and provide technical leadership across AI initiatives

Required Technical Skills :

1. Core AI & LLM Technologies :

- Agentic AI & Multi-Agent Systems

- Large Language Models (LLMs)

- Retrieval-Augmented Generation (RAG)

- LLM Orchestration Frameworks

2. Frameworks & Tools :

- LangGraph

- LangChain

- LlamaIndex

3. Data & Knowledge Systems :

- Knowledge Graphs

- Vector Databases

- PostgreSQL

4. Programming & APIs :

- Python

- FastAPI

5. Enterprise AI & Infrastructure :

- Enterprise AI Integrations

- AI Observability Platforms

- Kubernetes

- MLOps

- Scalable AI Platform Architecture

Preferred Qualifications :

- Experience deploying AI solutions in production environments

- Strong understanding of AI governance, monitoring, and security best practices

- Experience working with cloud-native AI architectures

- Proven track record of leading AI engineering teams and enterprise projects

- Excellent problem-solving and stakeholder management skills