Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Unconfirmed

Apply at Jadeglobal

What you’ll bring

All qualifications

Core experience

Strong Python programming with FastAPI and Flask
Experience with autonomous agents and async workflows
Solid understanding of ML, Deep Learning, NLP, and GenAI concepts
Knowledge of AI governance, monitoring, and security
Hands-on experience with LLMs, embeddings, and prompt engineering
Experience designing agentic systems with MCP / A2A

Qualification wording

Strong Python programming with FastAPI and Flask

Experience with autonomous agents and async workflows

Solid understanding of ML, Deep Learning, NLP, and GenAI concepts

Knowledge of AI governance, monitoring, and security

Hands-on experience with LLMs, embeddings, and prompt engineering

Experience designing agentic systems with MCP / A2A

Tools in this posting

JavaScript
Python
AWS
Azure
Docker
Google Cloud (GCP)
Kubernetes
MLflow
SageMaker
Fastapi
Huggingface
Flask

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) - 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

Job description

View original posting ↗

AI/ML Engineer2

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

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

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

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Pune, Maharashtra

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

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

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

Status in our records: Active
First seen by us: May 12, 2026
Recorded sightings: 206
Last seen by us: Oct 8, 2026
Employer says posted: Jan 7, 2026

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

Report an error

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Upload resume Add LinkedIn