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AI/ML Engineer

Reads like an AI Engineer role: building products on existing AI models.

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

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
Apply at Jadeglobal

Posting record

Report an error

Open 4 monthsWe first saw this posting 135 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, 2026135 days ago
Recorded sightings
202
Last seen by us
Nov 13, 2026

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

How this job compares

Time since we first saw it

Day 135

Up longer than most. Similar jobs usually come down between day 4 and day 77.

Well past Jadeglobal’s usual: its jobs come down by about day 32.

From 51 similar postings that came down, and 16 of Jadeglobal’s. Coming down is not always a hire.

Jadeglobal is hiring

15 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • JavaScript
  • Python
  • AWS
  • Azure
  • Docker
  • GCP
  • Kubernetes
  • MLflow
  • SageMaker
  • FastAPI
  • Flask
  • Hugging Face
Where the posting names them
- 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

Your next step

Complete your application on jadeglobal.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

Has Jadeglobal posted this job before?

Yes. We’ve followed 3 other AI/ML Engineer jobs there since May 2026. One came down after 22 days. 2 are still up.

  1. PuneCame down after 22 days, first seen May 12
  2. PuneStill up after 186 days, first seen May 12
  3. PuneStill up after 186 days, first seen May 12
  4. This jobUp 136 days so far, first seen Jul 1

Large employers often post one title for several teams, so these can be separate openings.

Demand for AI Engineer roles

New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.

Weekly new AI Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 7, the most 65, and the latest week had 65.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under AI Engineer, by the work the posting describes.

AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.

Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.

An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.

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 ↗

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Location & working pattern

Pune, Maharashtra

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