06 Aug
|
ENOVADATA
|
Valsad
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
Benefits:
- Competitive salary and performance bonuses.
- Professional development opportunities.
- Collaborative and creative work environment.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Senior Artificial Intelligence Engineer (Valsad)
🏢 ENOVADATA
📍 Valsad