Agentic AI Architect / Lead Developer

Location: Charlotte, NC (preferred for hybrid work; open to remote for strong candidates) Long term Build and ship production agentic AI features — agents, tools, prompts, evals, and integrations — against an established reference architecture. Required Qualifications: Experience in software development or data engineering Hands-on experience in Generative AI or LLM-based applications Experience building APIs, microservices, or distributed systems Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field Key roles: Implement agents and sub-agents (planner, executor, critic, router) using Claude Agent SDK / Lang Graph Build tools and MCP integrations , design clean tool schemas , idempotent operations , and robust error handling Develop Fast API/Python services exposing agent capabilities (sync + streaming); integrate with SQL (Postgres) and object stores (S3) Write evaluation harnesses (golden sets, regression suites, LLM-as-judge) and trace/observe agent runs. Participate in code reviews, pairing, and architecture discussions; own quality of the code you ship. Strong Python (FastAPI, async, Pydantic) or Node/TypeScript equivalent. Hands-on with at least one agent framework (Claude Agent SDK / Lang Graph / AutoGen). Practical experience with LLM tool/function calling , structured outputs, streaming. Git, CI/CD, containerization (Docker), and cloud basics (AWS preferred) Roles/Responsibilities: Implement single-agent and multi-agent systems using frameworks such as LangChain, Semantic Kernel, CrewAI, AutoGen, or similar Build applications using LLMs (Azure OpenAI, OpenAI, Anthropic, etc.) Implement Retrieval-Augmented Generation (RAG) pipelines Enable agents to coordinate and collaborate in multi-agent ecosystems Build secure, scalable APIs and microservices to support AI agents Monitor system behavior and continuously improve reliability Optimize performance for latency, cost, and scalability #J-18808-Ljbffr American Unit, Inc