AI ML Engineer

AI/ML Engineer1 **Key Responsibilities** * Build and deploy LLM-based GenAI applications end-to-end * Work with multiple LLMs (OpenAI/Azure OpenAI, Gemini, Claude, LLaMA, Mistral) * Design and implement agentic and multi-agent systems using MCP and A2A * Develop RAG pipelines and document intelligence solutions * Use modern GenAI frameworks (LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Google ADK, MS CoPilot) * Build AI backend services using FastAPI and Flask * Develop and integrate chat UIs, copilots, and dashboards with AI APIs * Productionize, deploy, and monitor AI systems on cloud platforms * Ensure performance, security, scalability, and Responsible AI compliance **Required Skills** * Strong Python programming with FastAPI and Flask * Solid understanding of ML, Deep Learning, NLP, and GenAI concepts * Hands-on experience with LLMs, embeddings, and prompt engineering * Experience designing agentic systems with MCP / A2A * Expertise in RAG architectures and vector databases (FAISS, Pinecone, Weaviate, Chroma, Milvus) * Working knowledge of front-end technologies: HTML, CSS, JavaScript, Stremlit; React preferred * API design and integration (REST / WebSockets) * Strong deployment & MLOps experience: Azure / AWS / GCP, Docker, Kubernetes, CI/CD, MLflow / Azure ML / SageMaker / Vertex AI **Good to Have** * Fine-tuning open-source LLMs (LoRA, PEFT, Hugging Face) * Experience with autonomous agents and async workflows * Exposure to RPA + Agentic AI integration * Knowledge of AI governance, monitoring, and security