AI Engineer – Azure GenAI / Agentic AI

Role Details

- Role: AI Engineer

- Minimum Relevant Experience: 7+ years

- Primary Skills: Python, C#, Azure OpenAI, Azure AI Foundry, Azure AI Search, RAG, Agentic AI, REST / GraphQL APIs

- Cloud Platform: Azure

- Deployment: AKS, App Service, Azure Functions

- Location/ Mode/ Budget : Bengalru/ Hybrid/ Open (As per Market Standards)

- 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.

- Ensure clean, secure, maintainable, production-level code is delivered.

- Follow responsible AI, privacy, and enterprise data security standards.

Must-Have Skills

AI / GenAI

- Solid 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.

Engineering

- 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.

DevOps / Cloud Deployment

- 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

Data / Pipelines

- 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

- GitHub Copilot experience.

- Microsoft Copilot Studio / Power Platform experience.

- PromptFlow, MLflow, Databricks.

- 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.

- Good stakeholder management skills.

- 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.

📌 AI Engineer – Azure GenAI / Agentic AI (Bengaluru)
🏢 TALPRO INDIA PRIVATE
📍 Bengaluru