AI/ML Developer

Experience:4-12years

Location: Pan India(Metro Cities)

Job Summary:

We are looking for a skilled AI/ML Developer with hands-on experience in Generative AI (GenAI) and Agentic AI solutions. The ideal candidate should have expertise in building intelligent AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and modern machine learning frameworks. The candidate will be responsible for designing, developing, deploying, and optimizing enterprise-scale AI solutions.

Key Responsibilities

• Design and develop AI/ML, GenAI, and Agentic AI applications.
• Build and deploy AI Agents using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar.
• Develop RAG-based solutions integrating LLMs, vector databases, and enterprise knowledge sources.
• Create prompt engineering strategies to improve model performance and accuracy.
• Fine-tune and optimize foundation models and LLMs for business use cases.
• Develop APIs and microservices for AI model integration.
• Implement MLOps/LLMOps practices including deployment, monitoring, and model lifecycle management.
• Collaborate with data engineers, architects, and business teams to deliver AI-powered solutions.
• Ensure Responsible AI practices, governance, security, and compliance standards are followed.

Required Skills

AI / ML

• Strong understanding of Machine Learning, Deep Learning, NLP, and Generative AI concepts.
• Experience with model training, evaluation, fine-tuning, and deployment.

GenAI

• Hands-on experience with:
• OpenAI, Azure OpenAI, Claude, Gemini, Llama, or similar LLMs
• Prompt Engineering
• RAG (Retrieval-Augmented Generation)
• Embeddings & Vector Databases (FAISS, Pinecone, ChromaDB, Weaviate)

Agentic AI

• Experience building autonomous and multi-agent systems.
• Knowledge of:
• LangChain
• LangGraph
• CrewAI
• AutoGen
• MCP (Model Context Protocol)
• Tool Calling & Agent Orchestration
• Agent Memory Management
• Human-in-the-Loop (HITL)

Programming & Cloud

• Strong coding skills in Python.
• Experience with FastAPI, Flask, REST APIs.
• Hands-on exposure to Azure, AWS, or GCP.
• Knowledge of Docker, Kubernetes, Git, CI/CD.