AI ML Engineer

AI Engineer

Job Title: AI Engineer

Location: Charlotte, NC

Interview: Face-to-Face / In-Person

Employment Type: Contract / Contract-to-Hire

Work Arrangement: Hybrid / Onsite as required

Experience: 5+ Years Overall IT Experience; 3+ Years in AI/ML/GenAI

Visa Status: USC, H1B, GC-EAD, H4-EAD only

Job Summary We are seeking an experienced AI Engineer to design, develop, deploy, and support enterprise-grade Artificial Intelligence, Machine Learning, Generative AI, and Large Language Model (LLM) solutions.

The ideal candidate will have strong hands-on experience with Python, Generative AI, RAG, LLMs, Azure OpenAI, Azure AI Search, vector databases, AI agents, document intelligence, REST APIs, and cloud-native application development .

The candidate will work closely with engineering, architecture, data, security, and business teams to build scalable AI solutions that integrate enterprise data and applications.

Key Responsibilities

• Design, develop, test, deploy, and maintain production-grade AI/ML and Generative AI applications.
• Build LLM-powered applications using Azure OpenAI, OpenAI APIs, or other enterprise AI platforms.
• Design and implement Retrieval-Augmented Generation (RAG) solutions for enterprise knowledge and document search.
• Develop AI-powered document processing, classification, extraction, summarization, and validation pipelines.
• Build intelligent AI agents using LangChain, LangGraph, Semantic Kernel, or similar frameworks.
• Implement agentic workflows including tool calling, orchestration, state management, context engineering, and structured outputs.
• Develop Python-based AI services, APIs, automation frameworks, and reusable components.
• Build and integrate REST APIs, microservices, and enterprise applications.
• Implement semantic, keyword, vector, and hybrid search capabilities.
• Develop embedding pipelines and integrate vector databases such as Pinecone, FAISS, Weaviate, ChromaDB, PostgreSQL/pgvector, or Azure AI Search.
• Perform prompt engineering, prompt evaluation, context optimization, and response-quality improvement.
• Implement document intelligence solutions using OCR, document extraction, classification, and entity recognition.
• Work with structured and unstructured enterprise data.
• Integrate AI solutions with SQL databases, APIs, data platforms, and enterprise applications.
• Develop model evaluation frameworks to measure accuracy, relevance, latency, cost, and reliability.
• Implement AI guardrails, security controls, monitoring, logging, and observability.
• Containerize AI applications using Docker and deploy them using Kubernetes/AKS or similar platforms.
• Participate in CI/CD implementation using Azure DevOps, GitHub Actions, Jenkins, or equivalent technologies.
• Troubleshoot production AI applications and improve performance and scalability.
• Collaborate with architects, developers, data engineers, cybersecurity teams, and business stakeholders.
• Participate in Agile/Scrum ceremonies, sprint planning, code reviews, and technical discussions.
• Create technical documentation covering architecture, implementation, APIs, AI workflows, and operational procedures.

Required Technical SkillsProgramming

• Strong hands-on experience with Python
• Python APIs and microservices
• FastAPI or Flask
• REST APIs
• JSON
• Pydantic
• Unit testing and debugging
• Git/GitHub

Generative AI / LLM

• Large Language Models (LLMs)
• Generative AI
• Prompt Engineering
• Context Engineering
• Structured Outputs
• Function Calling / Tool Calling
• AI Agents
• Agentic AI
• Multi-step AI workflows
• LLM evaluation
• AI guardrails

RAG & Enterprise Search

• Retrieval-Augmented Generation (RAG)
• Embeddings
• Semantic Search
• Vector Search
• Hybrid Search
• Keyword Search
• Query Rewriting
• Reranking
• Chunking strategies
• Metadata filtering
• Knowledge retrieval

AI / Cloud Platforms

Hands-on Experience With One Or More

• Azure OpenAI
• Azure AI Search
• Azure AI Foundry
• Azure AI Document Intelligence
• Azure Cognitive Services
• AWS Bedrock
• OpenAI APIs
• Google Vertex AI

AI Frameworks

Experience With One Or More

• LangChain
• LangGraph
• LlamaIndex
• Semantic Kernel
• AutoGen
• CrewAI

Vector Databases

Skills: ai ml,vpython,vector,python,java