Senior Application Engineer - AI (Python, FastAPI & LLM)

About this role

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Skills you'll use

What you'll do

• End-to-End Feature Delivery:Own the dev work on a Strike Team — REST APIs, frontend wiring, feature logic, and integration with AI components — for one high-complexity or strategic AI productization project at a time.
• Technical Execution:Make day-to-day implementation calls, contribute to design reviews, and make sound trade-off decisions on your features; escalate cross-cutting concerns to the Engineering Manager.
• AI Integration:Partner with your AI Engineer to bring LLM-based components into production paths — prompt invocation, response handling, fallbacks, observability — running on AWS Bedrock. You'll shape how these components are integrated, collaborate on the design decisions that affect the product, and bring the AI Architect in on the deeper algorithmic calls.
• Platform & Standards Consumption:Build on top of the team's shared CI/CD, vector DB, auth, QA, and UI/UX foundations. Push back to the horizontal layer when something is missing or wrong.
• Code Quality & Mentorship:Set a high bar for code review, testing, and engineering hygiene through your own work. Mentor the Consultant Product Engineer and the AI pairing partners.
• AI-Native Development:Leverage AI coding tools (Claude Code, Copilot) to accelerate delivery while maintaining a high quality bar.
• KPIs & Success Metrics
• End-to-end delivery of high-complexity or strategic projects on schedule.
• Quality bar upheld: review standards, test coverage, and observability for owned features.
• Reliable AI integration — LLM-backed paths with sound fallbacks and acceptable latency.

Who can apply

• Guidewire Knowledge:Prior experience with Guidewire InsuranceSuite or Guidewire Cloud is a significant plus.
• Team Leadership:Prior experience leading small teams or owning a feature area end-to-end.

About Guidewire

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