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# Agentic AI Developer

- **Company:** TechDigital Corporation
- **Location:** Charlotte, NC, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Microsoft Azure, Code Review, Encodings, Continuous Integration, Information Engineering, Distributed Systems, Information Retrieval, Python (Programming Language), PostgreSQL, Node.Js, OpenAI, Software Engineering, SQL Databases, Data Streaming, TypeScript, Network Routers, LangChain, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Hallucination Detection, Software Application Programming, Generative AI, Agentic-AI, Git, Fastapi, Pgvector, Containerization, Information Technology, CrewAI, AutoGen, Build Tools, FAISS, Claude, Invoking Functions, Api Design, Restful APIs, Agent SDK, Semantic Kernel, OpenSearch, Docker, Microservices
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/agentic-ai-developer-charlotte-nc--bbef9cfb-97ef-4f88-8d8f-40dca3ffe93d

## About the Role

Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Software Development, Artificial Intelligence (AI), Microservices, Application Programming Interface (API), Distributed Computing, Computer Science, Data Science, Network Routers, * 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

## Description

Build and ship production agentic AI features - agents, tools, prompts, evals, and integrations - against an established reference architecture., * 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