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

Guidewire; Bengaluru; On-site; INR 2,600,000 - 4,200,000; Full time

Job summary

Guidewire is seeking a Senior Application Engineer to join our Professional Services AI Engineering team in Bengaluru. You will own end-to-end feature delivery on AI products, collaborating with AI and platform architects, and leveraging AI coding tools to ship production-grade features on AWS Bedrock.

You will work on REST APIs, frontend wiring, and integration with AI components, while upholding code quality, reviews, and observability.

Qualifications

• 5–8+ years of software engineering experience with backend/full-stack delivery.
• Strong Python/API design and production-grade coding experience.
• Experience integrating AI components and LLM-based features.

Responsibilities

• Own end-to-end feature delivery on AI productization projects.
• Contribute to design reviews and make trade-off decisions.
• Partner with AI engineers to productionize LLM components on AWS Bedrock.
• Build on CI/CD, vector DB, auth, QA, and UI foundations.
• Set high standards for code quality, reviews, and observability.
• Mentor teammates and drive AI-native development.
• Monitor KPIs and ensure reliable, scalable deployments.

Skills

Python

FastAPI

Pydantic

pytest

REST API

React

LLM integration

AWS Bedrock

CI/CD

Git workflow

Observability

Tools

Claude Code

Copilot

Lambda

ECS

API Gateway

RDS

Bedrock

CI/CD tooling

Git

React tooling

Job description

Summary Guidewire is seeking a Senior Applicaton Engineer to join our Professional Services AI Engineering team in Bangalore. In our Core & Satellite model, you will work on the development side of our Strike Teams — reporting to the Engineering Manager and pairing with a Senior AI Engineer to deliver production-grade, customer-facing AI features end-to-end. This is a hands-on senior engineering role. You own the dev work for your features end-to-end, build using AI coding tools like Claude Code, and operate inside platform blueprints set by the Platform Architect, AI Architect, and QA Architect — so you can focus on shipping the product rather than re-inventing infrastructure.

Job Description 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. Mentorship impact: growth of the Consultant Product Engineer and AI pairing partners. Platform feedback loop: gaps surfaced and resolved with the horizontal teams.

Experience:

5-8+ years of software engineering experience, with a strong focus on backend or full-stack production development.

Technical Proficiency:

Expert-level skills in Python and the surrounding production ecosystem (async, FastAPI, Pydantic, pytest). Experience with Java or TypeScript is useful, though Python is strongly preferred. Strong REST API design experience, database modeling (SQL and at least one NoSQL store), and event-driven patterns. Working knowledge of frontend frameworks (React or equivalent) sufficient to wire UI components into your APIs. Working understanding of LLM APIs and how AI features are integrated — prompt invocation, streaming, retries, fallbacks. You'll partner with AI specialists on the modeling and data-science work, contributing to the integration design and knowing when to bring in the AI Architect. Experience with coding assistants (Claude Code, Copilot). AI in Production: Has taken LLM or RAG features to production and kept them running — streaming, fallbacks, cost controls, and observability. AWS: Hands-on with Lambda, ECS, API Gateway, RDS, and Bedrock — and aware of the timeout, concurrency, and cost limits that catch LLM workloads out. Engineering Excellence: Track record of shipping production features end-to-end. Strong CI/CD, Git workflow, automated testing, and observability habits. Domain Context: (Preferred) Experience with enterprise software, regulated industries, or multi-tenant SaaS.

Preferred Skills & Experience

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

Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire. As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation. For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC.

Equal Opportunity and Diversity

Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.

Guidewire is proud to be a disability inclusive employer. We are committed to providing individualized accommodations and support to candidates for any part of our hiring process. If you think you may need disability-related accommodations, please email EmployAbility at [e-mail], our disability partner, or schedule a call with an EmployAbility expert (calendar booking slot) for a confidential conversation.

Company Culture

We’re an extraordinary blend of hungry self-starters, intrepid explorers, brainy experts, and loyal allies. Combine all of this, and we make a glorious success story, loaded with down-to-earth, helpful, and passionate people, all on the journey of cloud innovation and best in class technology. Guidewire’s an adventure—and it’s yours for the taking. At Guidewire, we are utterly committed to customer success. We combine digital, core, analytics, and AI to deliver our platform as a cloud service to the P&C Insurance industry. And with the largest R&D team, services team, and partner ecosystem in the industry, we continually evolve and innovate to meet our customers’ needs. We put our values of Integrity, Rationality, and Collegiality first, harboring a culture of honesty and openness that our people never want to lose. And we each bring a little quirkiness—and a little genius—to the table. As the landscape of our industry continues to shift, we respond with flexibility and skill. We’re braving uncharted territory, pushing past the conventional with our products, partners, and people.