Agentic AI Developer

Summary: The Agentic AI Developer role involves building and deploying production-grade AI agents and multi-agent systems, with a focus on developing RAG-based AI applications and integrating large language models (LLMs). The position requires strong software development skills, particularly in Python or Node.js, and experience with various AI frameworks. The role offers flexibility with hybrid or remote working arrangements based in Charlotte, NC. Candidates should have a solid background in software development or data engineering, particularly in Generative AI applications.

Key Responsibilities:

• Build and deploy production-grade AI agents and multi-agent systems.
• Develop RAG-based AI applications and integrate LLMs.
• Build secure FastAPI microservices supporting AI agents.
• Implement agent tools, MCP integrations, and evaluation frameworks.
• Optimize AI applications for performance, scalability, reliability, and cost.
• Participate in code reviews, architecture discussions, and CI/CD practices.

Key Skills:

• 5+ years of software development or data engineering experience.
• Strong Python (FastAPI, Async, Pydantic) or Node.js/TypeScript.
• Hands-on experience with at least one agent framework: LangGraph, Claude Agent SDK, LangChain, AutoGen, CrewAI, or Semantic Kernel.
• Experience building Generative AI/LLM applications using OpenAI, Azure OpenAI, Anthropic, or AWS Bedrock.
• Strong experience implementing RAG pipelines (ingestion, chunking, embeddings, hybrid search, citations).
• Experience with vector databases such as pgvector, FAISS, or OpenSearch.
• Experience developing REST APIs, microservices, and distributed systems.
• Knowledge of PostgreSQL, Amazon S3, Docker, Git, CI/CD, and AWS.
• Experience with tool/function calling, structured outputs, streaming, and MCP integrations.
• Familiarity with AI evaluations, guardrails, hallucination detection, and prompt injection protection.

Salary (Rate): undetermined

City: Charlotte

Country: United States

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT