AI/ML Engineer

Jade Global; Maharashtra; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Jade Global is seeking an AI/ML Engineer to build and deploy LLM-based applications. This role requires strong Python programming skills, understanding of ML, Deep Learning, and experience with LLMs. You'll be responsible for implementing multi-agent systems and ensuring the scalability and compliance of AI systems on cloud platforms. The position seeks candidates proficient in deploying models with MLOps in Azure/AWS/GCP and using modern GenAI frameworks like LangChain and LangGraph.

Qualifications

• Strong Python programming experience with FastAPI and Flask.
• Solid understanding of ML, Deep Learning, NLP, and GenAI concepts.
• Hands-on experience with LLMs, embeddings, and prompt engineering.

Responsibilities

• Build and deploy LLM-based GenAI applications end-to-end.
• Design and implement agentic and multi-agent systems.
• Productionize and monitor AI systems on cloud platforms.

Skills

Python programming with FastAPI

ML, Deep Learning, NLP understanding

Experience with LLMs

API design and integration

MLOps with Azure/AWS/GCP

Front-end technologies

Tools

Docker

Kubernetes

FastAPI

Flask

Job description

AI/ML Engineer

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)
• 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, Streamlit; 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