Job Summary
We are looking for a Senior Software Engineer to lead the technical direction of our AI Agent initiatives. This is a backend engineering role first, focused on building scalable, reliable systems that happen to use modern AI techniques.Job Description
What You Will Do
Architectural Leadership
Design and own scalable backend architectures and complex agent‑driven workflows. This includes service boundaries, data flows, failure handling, observability, and performance characteristics—not just model interaction.
Agent Behavior Engineering (Not Just Prompting)
Design and productionize agent behaviors including tool invocation, state management, memory strategies, and reasoning control. Prompts are treated as code: versioned, tested, reviewed, and evolved alongside backend logic for reliability, cost, and latency.
Systemic Quality & Code Health
Set the bar for clean, readable, maintainable code across the Python backend. Establish patterns and standards that allow AI‑heavy systems to remain understandable and operable over time.
Testing & Evaluation of Probabilistic Systems
Design testing strategies for non‑deterministic AI components, including behavioral regression testing, automated evaluations, and guardrails that reduce blast radius in production.
Technical Mentorship
Lead code reviews as a teaching tool, run architectural discussions, and actively mentor Engineer 1–2 developers in backend fundamentals, system design, and operational thinking.
Operational Excellence & Production Ownership
Own CI/CD, deployment, and runtime health. Lead production support efforts and help build a strong on‑call culture where systems are observable, diagnosable, and resilient under real‑world load.
Customer‑Facing Engineering
Partner with product and design to deliver high‑traffic, customer‑facing experiences where AI responses must meet clear standards for latency, reliability, and UX—not just correctness.
Cross‑Functional Technical Leadership
Translate product goals into pragmatic technical roadmaps, identifying scaling risks, technical debt, and AI‑specific failure modes early.
Advanced Debugging & Incident Leadership
Lead investigations into complex issues spanning multiple services, data pipelines, or emergent agent behaviors in production.
What We’re Looking For
Senior Backend Engineering Depth
Extensive experience designing, building, and operating backend systems in Python, including asynchronous frameworks (FastAPI, asyncio) and distributed service architectures.
Production Experience at Scale
A track record of owning customer‑facing systems in production. You understand uptime, latency budgets, incident response, and the cost of unreliable behavior.
AI Systems Intuition
Hands‑on experience integrating LLMs into real systems, with a clear understanding of their limitations, failure modes, and operational risks. You think in terms of workflows, control flow, and safeguards—not just prompt quality.
Agent & Tooling Experience
Experience building AI agents that interact with tools, APIs, and external systems, including managing agent state, bounding autonomy, and preventing pathological behaviors (loops, hallucinations, cascading failures).
Support & Reliability Mindset
Comfortable being responsible for systems after launch. You design software that is “easy to wake up to” when something goes wrong.
Strong System Design Skills
Experience with microservices, data stores, queues, and high‑throughput APIs—and the judgment to keep designs as simple as possible.
Mentorship & Engineering Culture
A desire to raise the bar for those around you through feedback, example, and thoughtful technical leadership.
Pragmatism
You enjoy leveraging advanced AI capabilities, but you prioritize stability, debuggability, and long‑term maintainability over novelty.
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: $168,328.72 - $252,493.08Comcast 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 DegreeWhile 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
7-10 YearsComcast 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.