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AI/ML Engineer

Jade Global
Pune, IND
Full-time
Mid
Onsite
Discovered 3 weeks ago
awsazuredockerfastapiflaskgcp

Full Job Posting

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, 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

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
  • Experience designing agentic systems with MCP / A2A
  • Expertise in RAG architectures and vector databases (FAISS, Pinecone, Weaviate, Chroma, Milvus)
  • 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

Preferred Qualifications

  • Working knowledge of front-end technologies: HTML, CSS, JavaScript, Stremlit; React preferred

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