Software Engineer 3 - AI Agentic

Comcast Comcast · Media · Philadelphia, PA

Software Engineer to build and operate intelligent agents end-to-end, focusing on agent logic, workflows, integrations, and production deployment. The role involves rewriting an existing production chat experience into a fully agentic platform using tools like ADK and Gemini Enterprise, with a strong emphasis on customer experience and AI integrated across the SDLC.

What you'd actually do

  1. Design, build, and operate agentic systems that replace or augment human workflows
  2. Apply AI across the SDLC, including: Requirements and spec-driven development, System and agentic workflow design, AI-augmented coding and refactoring, AI-driven testing and defect remediation
  3. Build production-ready agent-based solutions with reliability, scalability, and observability
  4. Implement agent-to-agent, agent-to-UI, and human–AI orchestration
  5. Contribute to AgentOps, MLOps, and AI governance

Skills

Required

  • Agent Development Kit (ADK)
  • Python
  • Gemini Enterprise, or similar conversational AI platforms
  • Spec-driven development with AI integrated into the development lifecycle
  • Prompt engineering skills, including evaluation, iteration, and logging
  • AI-assisted coding across multiple features or defects in parallel
  • AgentOps and production monitoring for agent-based systems
  • LLM-as-a-Judge or comparable evaluation techniques
  • Design agent-to-agent, agent-to-UI, and human–AI collaboration patterns

Nice to have

  • Curiosity to explore emerging AI capabilities
  • Critical thinking to assess AI outputs
  • Adaptability in fast-moving, ambiguous environments

What the JD emphasized

  • 5+ years building agentic AI systems in production
  • AgentOps
  • production monitoring for agent-based systems
  • LLM-as-a-Judge or comparable evaluation techniques

Other signals

  • designing, shipping, and operating scalable, production-grade software
  • agentic AI systems in production
  • AI-augmented coding and refactoring
  • AI-driven testing and defect remediation
  • production-ready agent-based solutions with reliability, scalability, and observability
  • AgentOps, MLOps, and AI governance
  • ethical, compliant, and responsible AI use