AI/ML Engineer

7 months ago

Pune, IndiaSenior

Responsibilities

Build and deploy end-to-end LLM-based GenAI applications.
Work with OpenAI/Azure OpenAI, Gemini, Claude, LLaMA, and Mistral.
Design and implement agentic and multi-agent systems using MCP and A2A.
Develop RAG pipelines and document intelligence solutions.
Build applications with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, and Google ADK.
Develop AI backend services using Python, FastAPI, and Flask.
Integrate chat UIs, copilots, dashboards, and AI APIs.
Productionize, deploy, and monitor AI systems on cloud platforms.
Ensure performance, security, scalability, and Responsible AI compliance.

Strong Python programming with FastAPI and Flask.
Understanding of machine learning, deep learning, NLP, and GenAI concepts.
Hands-on experience with LLMs, embeddings, and prompt engineering.
Experience designing agentic systems with MCP and A2A.
Expertise in RAG architectures and vector databases including FAISS, Pinecone, Weaviate, Chroma, and Milvus.
Working knowledge of HTML, CSS, JavaScript, and Streamlit; React is preferred.
Experience with API design and integration using REST and WebSockets.
Strong deployment and MLOps experience with Azure, AWS, GCP, Docker, Kubernetes, MLflow, Azure ML, SageMaker, and Vertex AI.
Experience fine-tuning open-source LLMs with LoRA, PEFT, and Hugging Face is preferred.
Experience with autonomous agents and asynchronous workflows is preferred.
Exposure to RPA and Agentic AI integration is preferred.
Knowledge of AI governance, monitoring, and security is preferred.

1,001-5,000 employees