Open jobPosted 24 days ago · Closes in 4 days

TALPRO INDIA PRIVATE LIMITED - AI Engineer – Azure GenAI / Agentic AI

AI Engineer
Open to offers Bengaluru, India
Twine JobsVerified
Stretford, United Kingdom · Organization
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AI Engineer is needed in Bengaluru, India.

Client: TALPRO INDIA PRIVATE LIMITED

Location: Bengaluru, KA, in

Contract: Contract

Job Description

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.

Requirements

Experience

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

Bengaluru / Hybrid / Open (As per Market Standards)

Contract Duration

12 months

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

  • 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.

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.


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