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