Agentic AI engineers with Azure/AWS

Job description

Inviting Applications for Agentic AI engineers with Azure/AWS Job Title: Agentic AI engineers with Azure/AWS Location: Delhi, Noida, Gurugram, Chennai, Kochi, Pune, Bangalore, Hyderabad, Indore, Mumbai, Kolkata, Bhubaneshwar Experience Range: 5+ yrs

Key Responsibilities

Design and develop AI agents and multi-agent systems using LangGraph, CrewAI, AutoGen, LangChain, and LlamaIndex . Build scalable backend services using Python (Asyncio) and FastAPI . Develop, train, evaluate, and deploy ML/LLM solutions using PyTorch and Scikit-learn . Fine-tune LLMs using LoRA, PEFT, Prompt Tuning, Embeddings , and Retrieval-Augmented Generation (RAG). Implement vector search solutions with FAISS, Pinecone, and ChromaDB .

Manage ML lifecycle, experimentation, and model governance using MLflow . Deploy AI workloads on AWS Bedrock, SageMaker, Step Functions, and ECR . Apply feature engineering, statistical modeling, explainable AI (SHAP/LIME) , and model optimization techniques. Collaborate with product, engineering, and business teams to deliver production-grade AI solutions. Must-Have Skills Strong programming expertise in Python and asynchronous application development.

Hands-on experience with LangGraph, CrewAI, AutoGen, LangChain, or LlamaIndex . Experience with LLM fine-tuning, embeddings, RAG, and prompt engineering . Knowledge of PyTorch, Scikit-learn, MLflow , and MLOps practices. Experience with Vector Databases (FAISS, Pinecone, Chroma). AWS AI/ML services experience ( Bedrock, SageMaker, Step Functions, ECR ). Strong understanding of machine learning, feature engineering, statistics, and XAI (SHAP/LIME) .

Qualifications

BACHELOR OF ENGINEERING