AI Engineer – Azure GenAI / Agentic AI

Talpro; Bengaluru; On-site; INR 4,500,000 - 7,500,000; Full time

Job summary

Talpro is seeking an experienced AI Engineer to design, build, deploy, and support enterprise-grade AI solutions using Azure AI services and open AI tools.

The role emphasizes LLM-powered application development, RAG architectures, Agentic AI, and production-grade CI/CD pipelines. You will work in an agile setup with cross-functional teams in Bengaluru.

Qualifications

• Must have 7+ years of relevant experience in AI engineering.
• Hands-on expertise with Azure OpenAI, Azure AI Foundry, and related Azure services.
• Proficient in Python and C# for API and service development.
• Experience building LLM-powered applications and RAG-based patterns.
• Ability to design, deploy, and monitor enterprise-grade AI solutions.

Responsibilities

• Build full-stack LLM-powered AI applications using Azure technologies.
• Implement prompt engineering, grounding, RAG patterns, embeddings, and vector search.
• Develop REST/GraphQL APIs and microservices with Python, C#, or Node.js.
• Integrate AI with enterprise systems and user interfaces.
• Develop Agentic AI using Azure AI Foundry and Copilot Studio.
• Set up CI/CD pipelines with GitHub Actions or Azure DevOps.
• Deploy on AKS, Azure App Service, and Azure Functions; manage monitoring.
• Create data/feature pipelines with Azure Data Factory, Synapse, Databricks.
• Ensure security, privacy, and responsible AI standards.

Skills

Azure OpenAI

Azure AI Foundry

Azure Cognitive Services

Azure AI Search

Azure ML

NLP concepts

Vector databases

RAG-based applications

Agentic AI development

Python

C#

REST APIs

GraphQL APIs

Testing & code reviews

GitHub Actions

Azure DevOps pipelines

Docker

AKS

Azure App Service

Azure Functions

Tools

GitHub

Docker

AKS

Azure DevOps

Job description

Talpro is leading the way in transforming the talent acquisition landscape. We deliver innovative, sustainable, and cost-effective recruitment solutions tailored to today’s business needs. Our mission is to offer comprehensive hiring strategies that address immediate recruitment demands while laying the groundwork for long-term success.

Job Description

• Minimum Relevant Experience: 7+ years
  
• Contract Duration: 12 months

Role Overview

We are looking for an experienced AI Engineer to design, build, deploy, and support enterprise-grade AI solutions and products. The role requires strong hands-on experience in LLM-powered application development, Azure AI services, RAG architectures, Agentic AI, APIs, cloud deployments, and production support.

The candidate will work in an agile environment with cross-functional teams and will be responsible for delivering secure, scalable, maintainable, and production-ready AI solutions aligned with enterprise quality standards.

Key Responsibilities

• Build full-stack LLM-powered AI applications using Azure technologies.
  
• Implement prompt engineering, grounding, RAG patterns, embeddings, and vector search.
  
• Develop APIs and microservices using Python, .NET / C#, or Node.js.
  
• Integrate AI solutions with user interfaces and enterprise systems.
  
• Develop Agentic AI solutions using Azure AI Foundry and Copilot Studio.
  
• Implement CI/CD pipelines using GitHub Actions or Azure DevOps.
  
• Deploy AI solutions on AKS, Azure App Service, and Azure Functions.
  
• Build data and feature pipelines using Azure Data Factory, Synapse, or Databricks.
  
• Manage prompt versioning, embeddings, model deployments, and production monitoring.
  
• Conduct code reviews, audits, health checks, and quality reviews.
  
• Follow responsible AI, privacy, and enterprise data security standards.
  

Must-Have Skills

AI / GenAI

• Strong hands-on experience with:
  • Azure OpenAI
    
  • Azure AI Foundry
    
  • Azure Cognitive Services
    
  • Azure AI Search
    
  • Azure ML
    
  • NLP concepts
    
  • Vector databases / vector indexes
    
• Experience building RAG-based applications.
  
• Experience with Agentic AI development using Azure AI stack.
  
• Strong understanding of prompt design, embeddings, retrieval, grounding, and AI application patterns.
  
• Strong coding experience in:
  • Python
    
  • C#
    
• Experience building REST / GraphQL APIs.
  
• Strong understanding of testing, code reviews, clean code, and coding standards.
  
• Experience with GitHub, branching strategies, linters/formatters, and PEP8.
  
• Experience with GitHub Actions and/or Azure DevOps pipelines.
  
• Hands-on experience with:
  • Docker
    
  • AKS
    
  • Azure App Service
    
  • Azure Functions
    
• Knowledge of:
  • Azure Key Vault
    
  • Managed Identity
    
  • RBAC
    
  • Network security basics
    
• Experience building data or feature pipelines using:
  • Azure Data Factory
    
  • Synapse
    
  • Databricks
    
• Understanding of embeddings, prompt/version management, and production model operations.
  

Nice to Have

• Streamlit or React exposure.
  
• Practical MLOps / LLMOps experience.
  
• Azure certifications such as AI-102 or AZ-204.
  
• Experience with tool/function calling, retrieval caching, and advanced RAG patterns.
  
• Prior experience in asset-heavy enterprise projects will be an advantage.
  

Soft Skills

• Strong written and verbal communication.
  
• Ability to explain complex AI and cloud concepts in simple terms.
  
• Experience working in small, empowered, cross-functional virtual teams.
  
• Proactive ownership and strong problem-solving mindset.
  
• Independent analytical thinker with the ability to challenge assumptions and bring creative solutions.
  

Preferred Candidate Profile

The ideal candidate will be a hands-on Azure AI Engineer with 7+ years of relevant experience, strong coding skills in Python and C#, and proven experience building enterprise GenAI applications using Azure OpenAI, Azure AI Foundry, Azure AI Search, RAG, Agentic AI, APIs, CI/CD, Docker, and AKS/App Service/Functions.