01
TRPD-26-04300
AI Engineer (GenAI / RAG / Agentic AI) - Azure
Hiring an AI Engineer (3–8 years) in Pune for a permanent role to design, build, and scale enterprise GenAI solutions using Python, LLMs, RAG, and Agentic/Multi-Agent systems on Microsoft Azure. The role focuses on building LLM-powered applications, implementing RAG with embeddings and vector search, developing agentic workflows and multi-agent orchestration, and deploying production services on Azure (Azure AI Foundry, Azure OpenAI, Azure AI Search, App Service/Functions) with CI/CD and containerization practices.
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Full Time
- Experience
- Minimum 3 years and Maximum 8 years
Role overview
Why This Role Matters.
Hiring an AI Engineer (3–8 years) in Pune for a permanent role to design, build, and scale enterprise GenAI solutions using Python, LLMs, RAG, and Agentic/Multi-Agent systems on Microsoft Azure. The role focuses on building LLM-powered applications, implementing RAG with embeddings and vector search, developing agentic workflows and multi-agent orchestration, and deploying production services on Azure (Azure AI Foundry, Azure OpenAI, Azure AI Search, App Service/Functions) with CI/CD and containerization practices.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
02
Build Retrieval-Augmented Generation (RAG) solutions using embeddings, vector databases, and enterprise knowledge sources.
03
Develop Agentic AI applications with autonomous planning, reasoning, and tool usage.
04
Design and implement multi-agent orchestration frameworks where multiple AI agents collaborate to execute complex workflows.
05
Deploy and manage AI solutions using Azure AI Foundry, Azure OpenAI, Azure AI Search, and Azure App Service.
06
Build APIs and backend services using Python.
07
Collaborate with architects, product teams, and business stakeholders to deliver production-ready AI solutions.
08
Strong proficiency in Python.
09
Hands-on experience with LLMs and Generative AI.
10
Experience implementing RAG architectures.
11
Knowledge of Agentic AI and Multi-Agent Systems.
12
Experience with Azure AI Foundry, Azure OpenAI, Azure App Service, Azure Functions, Azure Storage, and Azure Key Vault.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Python
Required
02
LLM
Required
03
Large Language Models
Required
04
Generative AI
Required
05
GenAI
Required
06
RAG
Required
07
Retrieval Augmented Generation
Required
08
embeddings
Required
09
vector database
Required
10
vector store
Required
11
Azure AI Foundry
Required
12
Azure OpenAI
Required
13
Azure AI Search
Required
14
Azure App Service
Required
15
Azure Functions
Required
16
Azure Storage
Required
17
Azure Key Vault
Required
18
LangChain
Required
19
LangGraph
Required
20
Semantic Kernel
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
Python
Generative AI / LLMs
RAG (Retrieval-Augmented Generation)
Embeddings
Vector databases / vector search
Agentic AI
Multi-agent systems / orchestration
Azure AI Foundry
Azure OpenAI
Azure AI Search
Azure App Service
Azure Functions
Azure Storage
Azure Key Vault
Very good communication
Preferred
Nice to Have
LangChain
LangGraph
Semantic Kernel
AutoGen
CrewAI
CI/CD
Docker
GitHub Actions
Azure DevOps
API/backend service development in Python
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for AI Engineer (GenAI / RAG / Agentic AI) - Azure
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