| Job Description: | Agentic AI Developer Location: Charlotte, NC (preferred for hybrid work; open to remote for strong candidates Build and ship production agentic AI features agents, tools, prompts, evals, and integrations against an established reference architecture. Required Qualifications: " 3 8 years of 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. " Implement RAG pipelines: ingestion, chunking, embedding (Bedrock Titan), hybrid retrieval, citation rendering. " 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. " Implement guardrails: input/output validation, schema enforcement, rate limiting, prompt-injection defenses. " 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. " RAG implementation experience (pgvector / FAISS / OpenSearch). "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 " Develop evaluation frameworks for agent performance (accuracy, hallucination detection, response quality) " Monitor system behavior and continuously improve reliability " Optimize performance for latency, cost, and scalability |
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| Years of Experience: | 8 Years of Experience |
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