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

Overview

Join Guidewire's Professional Services AI Engineering team in Bangalore as a Senior Application Engineer. Own development for production-grade, customer-facing AI features end-to-end within a Strike Team, working with an Engineering Manager, Senior AI Engineer, and platform architects.

What you'll do

• Own development on a Strike Team, including REST APIs, frontend wiring, feature logic, and integration with AI components for one high-complexity or strategic AI productization project at a time.
• 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.
• Partner with the AI Engineer to bring LLM-based components into production paths using prompt invocation, response handling, fallbacks, and observability on AWS Bedrock.
• Shape how AI components are integrated and collaborate on product design decisions.
• Bring the AI Architect into deeper algorithmic calls.
• Build on 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.
• Set a high bar for code review, testing, and engineering hygiene through your own work.
• Mentor the Consultant Product Engineer and AI pairing partners.
• Leverage Claude Code and Copilot to accelerate delivery while maintaining a high quality bar.

What you'll need

• 5-8+ years of software engineering experience, with a strong focus on backend or full-stack production development.
• Expert-level skills in Python and the surrounding production ecosystem, including async, FastAPI, Pydantic, and pytest.
• Strong REST API design experience.
• Database modeling experience with SQL and at least one NoSQL store.
• Experience with event-driven patterns.
• Working knowledge of frontend frameworks, including React or equivalent, sufficient to wire UI components into APIs.
• Working understanding of LLM APIs and how AI features are integrated, including prompt invocation, streaming, retries, and fallbacks.
• Experience with coding assistants, including Claude Code and Copilot.
• Experience taking LLM or RAG features to production and keeping them running, including streaming, fallbacks, cost controls, and observability.
• Hands-on experience with AWS Lambda, ECS, API Gateway, RDS, and Bedrock.
• Awareness of the timeout, concurrency, and cost limits that affect LLM workloads.
• A track record of shipping production features end-to-end.
• Strong CI/CD, Git workflow, automated testing, and observability habits.
• Ability to partner with AI specialists on modeling and data-science work, contribute to integration design, and know when to bring in the AI Architect.

Nice to have

• Experience with Java or TypeScript.
• Experience with enterprise software, regulated industries, or multi-tenant SaaS.
• Prior experience with Guidewire InsuranceSuite or Guidewire Cloud.
• Prior experience leading small teams or owning a feature area end-to-end.

Details

• Location: Bangalore, India.
• Work on high-complexity or strategic AI productization projects, with end-to-end delivery on schedule as a success metric.
• Maintain review standards, test coverage, observability, reliable LLM-backed paths with sound fallbacks and acceptable latency, and platform feedback loops as success metrics.