Python Engineer, Agentic AI

Comcast•Washington, DC

1d•Onsite

About The Position

We are looking for a motivated Software Engineer to join our team and help build AI agents that solve real-world problems for customers and employees alike. You will work closely with senior engineers and product partners to design, develop, test, and maintain backend services and AI-driven workflows. This role is ideal for someone early in their career who is passionate about Python, agentic workflows, and learning best engineering practices in a high-growth field.

Requirements

Strong foundational coding skills in Python (familiarity with asyncio or FastAPI is a plus).
Solid analytical and debugging skills, especially when dealing with complex data structures or APIs.
Solid understanding of data structures, RESTful APIs, and backend service architecture.
Familiarity with Git workflows and a strong understanding of why we do code reviews.
Experience with testing frameworks (like pytest) and an understanding of test-aware development.
Comfortable working in a fast-paced, iterative Agile environment.
An eagerness to learn new technologies, ask "why," and take ownership of your professional growth.

Nice To Haves

Exposure to LLMs or agent frameworks
Familiarity with cloud platforms and Docker/containerization.
Experience with asynchronous processing or message queues

Responsibilities

Contribute to the development of AI agents, prompt engineering, and supporting backend infrastructure.
Write clean, well-structured, and maintainable Python code that follows established coding standards within the team.
Implement unit tests and integration tests to ensure agent reliability and prevent regressions.
Use Git and CI/CD tools effectively within a collaborative team environment.
Engage in Scrum ceremonies, contributing to sprint planning and retrospectives.
Debug and troubleshoot issues in development and production, specifically focusing on the unique challenges of LLM outputs.
Collaborate with team members through code reviews, focusing on learning and maintaining high code quality.