AI/Generative AI Tech Lead – Python, LLM & RAG

Charlotte, NC

Full Time 

Position Overview

Build and take AI and Generative AI solutions from prototype through production, applying Large Language Models, RAG, machine learning, and cloud technologies to real-world business problems. This Tech Lead role combines hands-on AI engineering with technical leadership, working alongside engineers, architects, data scientists, and business teams to develop scalable AI applications and integrate AI capabilities into enterprise platforms.

What You'll Do

• Develop and implement AI/ML solutions.
• Build Generative AI applications using Large Language Models (LLMs), including Kiro or Claude.
• Develop RAG-based applications using document processing, embeddings, vector databases, and semantic search.
• Integrate LLMs such as OpenAI and AWS Bedrock or equivalent platforms.
• Develop AI-powered chatbots, virtual assistants, document summarization, classification, extraction, and knowledge-management solutions.
• Implement prompt engineering techniques and evaluate LLM responses for accuracy, relevance, and reliability.
• Build and integrate REST APIs and microservices to expose AI capabilities to enterprise applications.
• Work with structured and unstructured data and develop data-preparation and processing pipelines.
• Implement AI solutions using cloud services on AWS.
• Collaborate with senior engineers and architects to develop scalable and production-ready solutions.
• Participate in proof-of-concepts and rapidly evaluate emerging AI technologies.
• Develop unit tests, integration tests, and automated validation for AI applications.
• Monitor AI applications and troubleshoot performance, accuracy, and production issues.
• Follow enterprise standards for security, data privacy, responsible AI, and application development.
• Contribute to technical documentation, solution design, and knowledge-sharing activities.
• Manage a team of offshore AI Engineers.

Required Qualifications

• 6–8 years of experience in software engineering, AI/ML, data science, or a related technology field.
• Experience with Machine Learning and/or Generative AI applications.
• Practical experience working with LLMs and prompt engineering, specifically Claude and Kiro.
• Experience building RAG applications using embeddings and vector search.
• Experience working with REST APIs and microservices.
• Familiarity with Git and CI/CD practices.
• Good understanding of software development lifecycle and Agile methodologies.
• Strong problem-solving and communication skills.

Preferred Qualifications

• 2+ years of hands-on experience with AI/ML or Generative AI, including leading a team.
• Knowledge of AI agents and agentic workflows.
• Experience with Docker and Kubernetes.
• Familiarity with MLOps/LLMOps concepts.
• Experience with AI evaluation, guardrails, and responsible AI.
• Experience working with enterprise data or regulated industries such as banking, financial services, or insurance.
• Experience with technologies in the stated stack, including Python, SQL, NLP, PyTorch, TensorFlow, Scikit-learn, LangChain/LangGraph, vector databases, document stores, and CI/CD.
• Experience with LLM platforms such as Azure OpenAI, OpenAI, AWS Bedrock, or Google Vertex AI.