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Senior Artificial Intelligence Engineer

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Remote

Senior Artificial Intelligence Engineer

Enovadata

Senior Artificial Intelligence Engineer

Skills

Google Cloud PlatformSQL QueriesDockerData MiningReactC#.NETAIAWSElasticsearchKubernetesNo-code AutomationsAzure

11 days ago

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Important information


Contract type:

Permanent

Location:

Valsad, Gujarat, India

Work mode:

Remote

Published on:

15 October 2026

What they need


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

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