Python AI Engineer – Agentic AI

We are looking for a Python AI Engineer with strong hands-on experience in Python development and Generative AI. The ideal candidate will have practical experience building Agentic AI applications using LangChain and LangGraph, along with exposure to AWS Bedrock.

The candidate should be strong in Python coding and pytest and should be able to explain real-world AI agent architectures and implementations.

Roles & Responsibilities:

• Develop and maintain Python-based AI/GenAI applications using strong Python coding practices.
• Build and enhance Agentic AI workflows using LangChain and LangGraph, including agents, tools, state management, and workflow routing.
• Integrate AWS Bedrock foundation models with Python applications and implement prompt engineering, model invocation, and response handling.
• Develop pytest-based unit tests, including mocking APIs and external services, and troubleshoot application issues.
• Integrate REST APIs and external tools into AI agent workflows.
• Implement error handling, retries, validation, and fallback mechanisms for reliable AI applications.
• Participate in design, development, debugging, code reviews, and deployment of AI solutions.
• Must be able to explain hands-on experience with Python, pytest, Agentic AI, LangChain, LangGraph, and AWS Bedrock during the interview.

Required: 3–4 years of relevant experience. Local to Dallas, TX candidates only. In-person interview required.