Sr. Software Engineer - AI Agentic

About the Role

We are evolving our chat experience from human-assisted to fully agentic. As an AI Agentic Software Engineer, you will help rewrite an existing production application into an end-to-end agentic platform, with a strong passion for customer experience and a commitment to building intuitive, high-quality interactions.

This role is for engineers who treat AI as a core part of the system—embedded across the full SDLC to deliver production-grade outcomes—while continuously advocating for the end user. You’ll work in a Google-centric stack using tools like ADK and Gemini Enterprise to build complex, agent-driven experiences that are not only intelligent, but seamless, trustworthy, and delightful for customers.

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 and spec-driven development

  • System and agentic workflow design

  • AI-augmented coding and refactoring

  • AI-driven testing and defect remediation

• Treat AI as a collaborating system, not a one-off tool

• 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 how AI is used in your engineering workflows

• Share patterns and best practices with the team

• Partner with product, UX, and platform teams to deliver cohesive experiences.

What You’ll Need:

• 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 to explore emerging AI capabilities, critical thinking to assess AI outputs, and adaptability in fast-moving, ambiguous environments.

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.