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

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.