Agentic AI engineers with Azure/AWS

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

• 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.

• 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).