AI/ML Engineer

2 months ago

Pune, IndiaMid Level

Responsibilities

Build and deploy end-to-end LLM-based GenAI applications.
Design agentic and multi-agent systems using MCP and A2A.
Develop RAG pipelines and document intelligence solutions.
Build AI backend services with FastAPI and Flask.
Develop and integrate chat UIs, copilots, dashboards, and AI APIs.
Productionize, deploy, and monitor AI systems on cloud platforms.
Ensure AI system performance, security, scalability, and Responsible AI compliance.

Strong Python programming skills 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, including REST and WebSockets.
Strong deployment and MLOps experience with Azure, AWS, GCP, Docker, Kubernetes, CI/CD, MLflow, Azure ML, SageMaker, and Vertex AI.
Fine-tuning experience with open-source LLMs, LoRA, PEFT, and Hugging Face is preferred.
Experience with autonomous agents, asynchronous workflows, RPA and Agentic AI integration, AI governance, monitoring, and security is preferred.

1,001-5,000 employees