Commonplace Logo

Commonplace

Python Engineer, Agentic AI

Posted 15 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in EST
143K-214K Annually
Senior level
In-Office or Remote
Hiring Remotely in EST
143K-214K Annually
Senior level
Develop and maintain Python-based AI agents and backend services. Implement unit and integration tests, participate in Agile ceremonies, use Git and CI/CD, troubleshoot LLM outputs, perform code reviews, and collaborate with product and engineering partners.
The summary above was generated by AI
Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

About the Role
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.

Job Description

What You Will Do:

Agent Development: Contribute to the development of AI agents, prompt engineering, and supporting backend infrastructure.

Clean Code: Write clean, well-structured, and maintainable Python code that follows established coding standards within the team.

Quality Assurance: Implement unit tests and integration tests to ensure agent reliability and prevent regressions.

Workflow: Use Git and CI/CD tools effectively within a collaborative team environment.

Agile Participation: Engage in Scrum ceremonies, contributing to sprint planning and retrospectives.

Troubleshooting: Debug and troubleshoot issues in development and production, specifically focusing on the unique challenges of LLM outputs.

Peer Growth: Collaborate with team members through code reviews, focusing on learning and maintaining high code quality.

What We’re Looking For:

Python Proficiency: Strong foundational coding skills in Python (familiarity with asyncio or FastAPI is a plus).

Problem Solving: Solid analytical and debugging skills, especially when dealing with complex data structures or APIs.

Core Fundamentals: Solid understanding of data structures, RESTful APIs, and backend service architecture.

Engineering Rituals: Familiarity with Git workflows and a strong understanding of why we do code reviews.

Testing Mindset: Experience with testing frameworks (like pytest) and an understanding of test-aware development.

Agile Experience: Comfortable working in a fast-paced, iterative Agile environment.

Growth Mindset: An eagerness to learn new technologies, ask "why," and take ownership of your professional growth.

Nice to Have:

AI/LLM Interest: Exposure to LLMs or agent frameworks

Infrastructure: Familiarity with cloud platforms and Docker/containerization.

Data Handling: Experience with asynchronous processing or message queues

Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Skills

Adaptability, Critical Thinking, Curious Mindset, Customer-Oriented, Python (Programming Language)

Compensation

Primary Location Pay Range: $142,651.46 - $213,977.19

Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work.    Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus.  Additionally, Comcast provides best-in-class Benefits to eligible employees.  We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most.  That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

Education

Bachelor's Degree

While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Certifications (if applicable)

Relevant Work Experience

5-7 Years

Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

Similar Jobs

4 Days Ago
Remote or Hybrid
Mid level
Mid level
Big Data • Software
Provide advanced technical support for Rain's payments platform and partner integrations: triage and resolve API and integration issues, read logs and run SQL queries, own incidents within 24x7 coverage, escalate to engineering/product, create knowledge-base content, and collaborate on monitoring, testing, and new feature rollouts.
Top Skills: APIsScriptingSQL
4 Days Ago
Remote or Hybrid
Junior
Junior
Big Data • Software
Manage onboarding and integrations for B2B partners, coordinate cross-functional teams, design onboarding workflows, analyze product performance, and define business requirements with product managers to improve user experience.
Top Skills: SQL
5 Days Ago
Remote or Hybrid
Mid level
Mid level
Big Data • Software
Provide advanced technical support for Rain's payments platform and integrations: troubleshoot APIs, read logs, run SQL queries, own incidents within 24x7 coverage, produce documentation and KB content, escalate to engineering/product, and support rollouts and monitoring improvements.
Top Skills: Rest ApisScriptingSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account