AI Engineer

Overview

Charlotte, NC — Technical Leadership & System Architecture

• Lead the architecture and development of LLM-driven applications, AI agents, and RAG-based systems.
• Provide technical guidance, conduct code reviews, and mentor junior team members.
• Drive best practices in Python backend engineering, API development, and AI system design.
• Build and maintain backend services using FastAPI or Flask.
• Develop scalable API endpoints for AI applications, embeddings, and retrieval systems.
• Ensure backend code quality, modularity, performance, and maintainability.

• Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or related fields.
• 10+ years of experience in Python backend development.
• Strong proficiency in FastAPI or Flask.
• Strong working knowledge of SQL databases (Postgres, MySQL, etc.).
• Hands-on expertise with vector databases:
  Redis, Postgres with pgvector, Elasticsearch, Neo4j, or others.
• Practical experience with FAISS for similarity search.
• Hands-on experience with modern LLM frameworks:
  Lang Chain, Lang Graph, Semantic Kernel, Haystack, Llama Index, Auto Gen.
• Strong understanding of embeddings & vector search, RAG pipelines, retrieval optimization, chunking strategies, document loaders & indexing, and experience building AI apps using OpenAI SDK or similar.
• Experience deploying APIs/services using Docker and cloud environments.
• Leadership experience: guiding teams, conducting reviews, driving architecture decisions.