AI/ML Engineer

Job description

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