Senior Product Engineer (Java, REST API & AI)

United States Digital Space LLC; Karnataka; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

the company in Bangalore is hiring a Senior Product Engineer for our Professional Services AI Engineering team. You will own end-to-end feature delivery on a Strike Team, including REST APIs, frontend wiring, and AI component integration.

You will partner with an AI Engineer to productionize LLM-based features and operate within established platform standards. You will mentor teammates, contribute to design reviews, and uphold code quality, testing, and observability as part of a hands-on senior

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
• 8+ years of software engineering experience with backend or full-stack production development.
• Expert-level skills in at least one production backend language (Java, Python, or TypeScript).
• Strong REST API design, SQL and NoSQL databases, and event-driven patterns.
• Frontend wiring to connect UI components to APIs (React or similar).
• Experience with LLM APIs, AI features integration, and collaboration with AI specialists.
• CI/CD, automated testing, and observability practices.

Responsibilities

• End-to-end feature delivery on a Strike Team: REST APIs, frontend wiring, and AI component integration.
• Make day-to-day implementation calls, participate in design reviews, and trade-off decisions.
• Partner with AI Engineer to bring LLM-based components into production paths.
• Build on CI/CD, vector DB, auth, QA, and UI/UX foundations; contribute to architecture decisions.
• Mentor consultants and AI pairing partners; maintain high code quality and testing standards.

Skills

Java

Python

TypeScript

REST API design

Frontend wiring

LLM APIs

CI/CD

Education

Bachelor’s or Master’s in CS

Tools

Claude Code

Copilot

Job description

India - Bangalore

Professional Services/Full time/Onsite

the company is seeking a Senior Product 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. 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; elevate 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. 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 d 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.

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; elevate 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. 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 d 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.

Key Skills & Experience

• Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.


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


• Technical Proficiency:
  
  
  
  • Expert-level skills in at least one production backend language (Java, Python, or TypeScript) and the surrounding ecosystem.
  
  
  • 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).
  
  
  
  


• 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

• Cloud Infrastructure: Hands-on AWS experience (Lambda, ECS, API Gateway, RDS).


• AI Productization: Experience shipping LLM-powered or RAG-based features into production.


• the company Knowledge: Prior experience with the company InsuranceSuite or the company Cloud is a significant plus.


• Team Leadership: Prior experience leading small teams or owning a feature area end-to-end.

About the company

the company 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 the company. 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.the company.com and follow us on Twitter: @the company_PandC.

the company 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.