Experience: 7+ Years

Location: Pune / Gurgaon (Hybrid)

Job Summary

We are looking for an Agentic AI Developer with hands-on experience in building production-grade LLM applications, AI Agents, and RAG solutions. The ideal candidate should have robust Python development skills and experience with contemporary Agentic AI frameworks to design, develop, and deploy scalable AI solutions.

Key Responsibilities
Build LLM-based applications and multi-agent workflows using LangChain, LangGraph, CrewAI, AutoGen, Microsoft Agent Framework, or LlamaIndex.
Develop RAG pipelines including chunking, embeddings, vector search, and re-ranking.
Build AI agents with tool calling, memory management, and Human-in-the-Loop (HITL) capabilities.
Design effective prompts, structured outputs, and fine-tune LLMs using LoRA/PEFT.
Develop REST APIs using FastAPI and integrate enterprise applications.
Work with Pinecone, Qdrant, or pgvector for vector search.




Deploy AI applications using Docker, Kubernetes, AWS/Azure, and maintain CI/CD pipelines.
Implement AI observability, guardrails, hallucination detection, and performance optimization.
Collaborate with architects and cross-functional teams to deliver enterprise AI solutions.

Mandatory Skills
Agentic AI & Generative AI
Python, FastAPI
LangChain, LangGraph (CrewAI/AutoGen/LlamaIndex is a plus)
RAG, LLMs, Prompt Engineering
Vector Databases (Pinecone/Qdrant/pgvector)
Docker, Kubernetes
AWS or Azure
REST APIs, SQL, Git, CI/CD

Positive to Have
LangSmith, RAGAS, TruLens, G-Eval
MLflow, DVC
LoRA, PEFT, Quantization
Pydantic, vLLM, Triton Inference Server
AWS/Azure AI Certifications

Qualification
B.E./B.Tech./M.Tech./M.Sc. in Computer Science, IT, AI, or related field.

📌 Agentic Ai Developer Delhi (India)
🏢 Net Connect
📍 India