Senior Artificial Intelligence Engineer

Enovadata; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Enovadata seeks a Senior AI Engineer to design, develop, and deploy AI-powered applications using modern LLMs, agents, and document intelligence within the Microsoft technology stack. You will build production AI solutions including AI assistants, document processing platforms, and RAG systems, while enabling enterprise search and workflow automation.

The ideal candidate will bring hands-on experience with LLMs, AI orchestration, and scalable backend services using C#/.NET, cloud platforms,

Qualifications

• Experience building production AI applications using large language models and API integrations.

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.

Skills

LLM platforms

AI agents

RAG workflows

Semantic search

Document processing

Prompt engineering

Tool calling

C#

NET Core

APIs / Backend

Angular/React

SQL

Cloud (Azure/AWS/GCP)

Docker

Git/CI/CD

Tools

LangChain

LangGraph

Semantic Kernel

OpenAI

Pinecone

Elasticsearch/OpenSearch

Kubernetes

Azure AI

Docker

Job description

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