Jadeglobal

AI/ML Engineer

Pune, MaharashtraPosted Jul 1, 2026

Requirements at a glance

AI/ML Engineer at Jadeglobal is a role based in Pune, Maharashtra. It does not mention visa sponsorship. Key skills include JavaScript, Python, React, and Flask. Applications are submitted through Workday.

Visa sponsorship
Not mentioned in the posting
Application platform
Workday

Skills in this posting

  • JavaScript
  • Python
  • React
  • Flask
  • AWS
  • Azure
  • Google Cloud
  • Kubernetes
  • Docker
  • Machine learning
  • Deep learning
  • Generative AI

Extracted automatically from the job description. Confirm details in the full posting below.


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

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