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    Job · 21381131

    REMOTEFULLTIME

    Senior Artificial Intelligence Engineer

    Enovadata

    Enovadata

    Remote · remote · Posted 3d ago

    Sourced fromNaukri
    Undisclosed6–11 yrsfulltimeRemote

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    Section · 01

    About this role

    We are seeking a Senior AI Engineer to design, develop, and deploy AI-powered applications using modern LLMs, AI agents, document intelligence, OCR, enterprise search, and the Microsoft technology stack.

    The ideal candidate has hands-on experience building production AI solutions such as AI assistants, document processing platforms, Retrieval-Augmented Generation (RAG) systems, intelligent search, workflow automation, and enterprise AI applications.


    Required Skills & Experience


    AI & LLM Experience

    • Experience building production AI applications using OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, or similar models
    • Experience with AI agents, agentic workflows, and AI orchestration
    • Experience with RAG, semantic search, embeddings, and vector databases
    • Experience building document processing and information extraction pipelines
    • Understanding of prompt engineering, tool calling, and structured AI outputs

    Development Experience


    • Strong experience with C# and .NET Core / .NET 6+
    • Experience developing scalable APIs and backend services
    • Experience with Angular, React, or modern web frameworks
    • Strong SQL and database design experience
    • Experience with Azure, AWS, or Google Cloud
    • Experience with Docker, Git, and CI/CD pipelines

    Preferred Experience


    • LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar frameworks
    • OCR, document intelligence, and computer vision solutions
    • Azure AI Search, Elasticsearch, OpenSearch, Pinecone, Qdrant, Chroma, or similar platforms
    • Multi-agent systems and workflow automation
    • Kubernetes and scalable AI infrastructure

    Key Responsibilities

    • Design and develop enterprise AI applications from concept to production
    • Build AI agents, AI assistants, and workflow automation solutions
    • Develop and optimize RAG pipelines and enterprise search solutions
    • Implement document extraction, OCR, and document intelligence workflows
    • Integrate AI capabilities into existing business applications
    • Evaluate and deploy open-source and commercial AI models
    • Collaborate with engineering and business teams to identify and deliver AI solutions

    Ideal Candidate

    The ideal candidate has successfully delivered solutions involving:

    • AI Agents
    • RAG Systems
    • Enterprise Search
    • Document Intelligence
    • OCR & Data Extraction
    • Workflow Automation
    • AI-Powered Business Applications
    • Open Source or Self-Hosted LLMs

    Sourced from naukri

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    Section · 02

    Skills

    Retrieval Augmented GenerationVector DatabaseLlamaelastic searchDot Net CoreOpenAI SDKtool callingPythonSQLOCRAgentic AiArtificial Intelligence

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