AI Agentic Software Engineer

Job Summary

The AI Agentic Team designs, builds, and runs intelligent agents end to end. We own agent logic, workflows, integrations, production deployment, and ongoing performance. By combining build and operations, we deliver agentic systems that are reliable, secure, and scalable in real-world use.

About the Role

We are building the next generation of our chat experience, transitioning from a human-assisted workflow to a fully agentic, AI-driven system. As an AI Agentic Software Engineer, you will create re-usable AI agents used across Xfinity applications. Your initial focus will be to enable agentic capabilities at our Xfinity Assistant (chat application) with a strong passion for customer experience and a commitment to building intuitive, high-quality interactions. You will work in a Google-centric ecosystem, leveraging tools such as Agent Development Kit (ADK) and Gemini Enterprise to orchestrate complex, agent-driven customer experiences.

What You'll Do:

• Agentic & AI-Augmented Engineering: Design, build, and operate agentic systems that replace or augment human workflows; apply AI across the SDLC including requirements, system design, AI-augmented coding, and testing; treat AI as a collaborating system; evaluate and iterate on AI outputs (e.g., LLM-as-a-Judge).
• Platform & Production Delivery: Build production-ready agent-based solutions with reliability, scalability, and observability; implement agent-to-agent, agent-to-UI, and human-AI orchestration; contribute to AgentOps, MLOps, and AI governance; ensure ethical, compliant, and responsible AI use.
• Collaboration & Influence: Clearly communicate AI use in workflows; share patterns and best practices; partner with product, UX, and platform teams to deliver cohesive experiences.

What You'll Need:

• 5-7 years building agentic AI systems in production, or equivalent experience designing, shipping, and operating scalable, production-grade software (APIs, platforms, workflow engines, or customer-facing applications)
• Hands-on experience with Agent Development Kit (ADK) and Python
• Experience with Gemini Enterprise, or similar conversational AI platforms
• Spec-driven development with AI integrated into the development lifecycle
• Strong prompt engineering skills, including evaluation, iteration, and logging
• Experience leveraging AI-assisted coding across multiple features or defects in parallel
• Familiarity with AgentOps and production monitoring for agent-based systems
• Experience with LLM-as-a-Judge or comparable evaluation techniques
• Proven ability to design agent-to-agent, agent-to-UI, and human-AI collaboration patterns
• Soft Skills: Curiosity, critical thinking, adaptability in fast-moving, ambiguous environments

Skills

• Adaptability
• AI Adoption
• AI Agents
• AI Platforms
• Curious Mindset
• Customer Experience (CX)

Education

• Bachelor's Degree (preferred, but combination of coursework and experience or extensive related professional experience considered)

Certifications

• Not specified

Relevant Work Experience

• 5-7 Years