Full-Stack GenAI Engineer

2 weeks ago

India ORION SYSTEMS Full time ₹ 5,00,000 - ₹ 25,00,000 per year

Experience: 5–12 years

Employment Type: Full-time

Location: Chennai/Hyd/Pune (Hybrid Mode)

About the Role

We are seeking a Fullstack AI / Azure GenAI Engineer to design, build, and deploy agentic AI applications leveraging Azure's Generative AI ecosystem. The ideal candidate will have strong expertise in multi-agent frameworks, RAG pipelines, and enterprise-scale AI deployment. Exposure to .NET, Angular, or React is a strong plus. You will collaborate with cross-functional teams to deliver secure, scalable, and production-ready GenAI solutions.

Key Responsibilities

  • Design & Develop GenAI Applications using Azure OpenAI Service for LLMs and multimodal capabilities.
  • Implement RAG (Retrieval-Augmented Generation) pipelines with Prompt flow and Azure AI Search.
  • Leverage Azure OpenAI Embeddings to power semantic search, personalization, and knowledge-aware generation.
  • Build multi-agent workflows using frameworks such as Semantic Kernel, AutoGen, CrewAI, and LangGraph, orchestrated via Azure AI Foundry and Azure AI Foundry Agent Service.
  • Apply Azure AI Document Intelligence for intelligent document processing and unstructured data ingestion.
  • Ensure responsible AI by integrating Azure AI Content Safety guardrails for compliance and security.
  • Develop APIs, microservices, and enterprise integrations for GenAI solutions.
  • Collaborate with architects, data engineers, and business stakeholders to deliver end-to-end AI applications.
  • Contribute to building accelerators, reusable components, and best practices for multi-agent GenAI development.

Required Skills

  • Strong programming expertise in Python and/or C#/.NET.

  • Solid understanding of the Azure AI ecosystem, including:

  • Model Access: Azure OpenAI Service

  • Agent Frameworks & Services: Azure AI Foundry, Azure AI Foundry Agent Service, Semantic Kernel, AutoGen, CrewAI, LangGraph
  • RAG Orchestration: Prompt flow
  • Vector Retrieval: Azure AI Search
  • Embeddings: Azure OpenAI Embeddings
  • Document AI: Azure AI Document Intelligence

  • Safety & Guardrails: Azure AI Content Safety

  • Proficiency in multi-agent frameworks (Semantic Kernel, AutoGen, CrewAI, LangChain, AgentOS).

  • Experience in building REST APIs, microservices, and cloud-native applications (FastAPI, Flask, ASP.NET Core).
  • Exposure to front-end frameworks (Angular, React) for AI-driven apps.
  • Familiarity with CI/CD, Docker, and Kubernetes for scalable deployments.

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