Agentic AI Engineer

Overview

Title:
Agentic AI Engineer

Location:
Charlotte, NC – Hybrid

Job Description:

Design, develop, and support cloud-native automation and AI agent workflows using Python, and LLM orchestration frameworks (Lang Chain / Lang Graph), deployed on AWS using containerized architectures.

• Design, develop, and support cloud-native automation and AI agent workflows using Python, and LLM orchestration frameworks (Lang Chain / Lang Graph), deployed on AWS using containerized architectures.
• Develop automation solutions using Python.
• Build AI agents using Lang Chain and Lang Graph to orchestrate tools, APIs, and workflows.
• Integrate automations with enterprise systems via REST APIs and databases.
• Containerize services using Docker and support CI/CD pipelines.
• Deploy and operate solutions on AWS (IAM, S3, Lambda, ECS/Fargate, Cloud Watch).
• Reasoning Engines: experience with frontier models like GPT-4o, Claude 3.5, and Llama 3.x/4 for tool-calling and JSON-mode outputs.
• Agentic RAG 2.0:
  Develop iterative retrieval systems where agents autonomously decide if they have enough information or if they need to perform additional searches/queries.
• Implement logging, error handling, and basic monitoring.
• Collaborate with onshore architects and follow defined architecture standards.

• Python (automation, backend services).
• JavaScript (React/Node.js).
• Lang Chain and/or Lang Graph hands-on experience.
• Docker and container-based deployments.
• AWS Cloud Practitioner-level knowledge with hands-on exposure.
• REST APIs, JSON, Git.

Regards,

Bharath Kumar