Engineer 3, Agentic AI

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.

Responsibilities

• 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.

Requirements

• 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

Qualifications

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

Skills

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

Benefits

N/A

Pay

N/A

Schedule

N/A