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Full-Stack GenAI Engineer

Full-Stack GenAI Engineer

Orion InnovationIndia
6 hours ago
Job description

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.
  • Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

    Candidate Privacy Policy

    Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This (“Notice”) explains :

  • What information we collect during our application and recruitment process and why we collect it;
  • How we handle that information; and
  • How to access and update that information.
  • Your use of Orion services is governed by any applicable terms in this notice and our general .

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