AI/ML Engineer

Pune, Maharashtra

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

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What you’ll work on

Full posting

Build and deploy LLM-based GenAI applications end-to-end
Design and implement agentic and multi-agent systems using MCP and A2A
Develop RAG pipelines and document intelligence solutions
Build AI backend services using FastAPI and Flask
Productionize, deploy, and monitor AI systems on cloud platforms

From the employer’s posting

Build and deploy LLM-based GenAI applications end-to-end

Design and implement agentic and multi-agent systems using MCP and A2A

Develop RAG pipelines and document intelligence solutions

Build AI backend services using FastAPI and Flask

Productionize, deploy, and monitor AI systems on cloud platforms

What you’ll bring

All qualifications

Core experience

Strong Python with FastAPI and Flask
Hands-on experience with LLMs, embeddings, and prompt engineering
Experience designing agentic systems with MCP / A2A
Expertise in RAG architectures and vector databases
Deployment and MLOps on Azure, AWS or GCP, with Docker, Kubernetes and CI/CD

Qualification wording

Strong Python programming with FastAPI and Flask

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)

Strong deployment & MLOps experience: Azure / AWS / GCP, Docker, Kubernetes, CI/CD, MLflow / Azure ML / SageMaker / Vertex AI

Tools in this posting

JavaScript
Python
AWS
Azure
Docker
GCP
Kubernetes
MLflow
SageMaker
FastAPI
Flask
Hugging Face

Source

- 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)

Required Skills - Strong Python programming with FastAPI and Flask - Solid understanding of ML, Deep Learning, NLP, and GenAI concepts

- 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

- 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

- 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

Good to Have - Fine-tuning open-source LLMs (LoRA, PEFT, Hugging Face) - Experience with autonomous agents and async workflows

Posting record

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Open 4 monthsWe first saw this posting 124 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jul 1, 2026 · 124 days ago
Recorded sightings: 192
Last seen by us: Nov 2, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

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

Source details

View original posting ↗

Source notes

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Pay

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Location & working pattern

Pune, Maharashtra

Working pattern and location restrictions need checking in the full posting.

Work authorization

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Open source at jadeglobal.wd5.myworkdayjobs.com ↗Read the full description ↓

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