AI/ML Engineer

Jade Global Software Pvt LTD; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Jade Global Software Pvt LTD is seeking a skilled developer to build and deploy LLM-based applications in Pune, India. The role involves designing agentic systems and working with various AI frameworks and cloud platforms.

Ideal candidates should have strong experience in Python, FastAPI, and Flask, as well as a solid understanding of ML and GenAI concepts. This position will include building AI backend services and ensuring compliance with best practices.

Qualifications

• 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.

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.

Skills

Python programming

Machine Learning

Deep Learning

Natural Language Processing

Prompt engineering

FastAPI

Flask

Deployment & MLOps

Tools

Docker

Kubernetes

Azure

AWS

GCP

Job description

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