Required Qualifications
Extensive experience as a Senior Software Engineer or Senior Fullstack Engineer
Strong hands-on experience with:Java
Spring Boot
React
AWS
Cloud experience (cloud agnostic backgrounds are welcome)
Proven experience integrating AI capabilities into production environments
(Open to a range of approaches — candidates should be able to clearly explain how AI was used and delivered value)
Experience working in SaaS or product-based software environments
Strong software engineering fundamentals, problem?solving skills, and system design experience
Comfort working across multiple tech stacks and unfamiliar codebases
Key Responsibilities
Design, build, and enhance fullstack applications using Java, Spring Boot, and React
Integrate AI capabilities into production software to improve development workflows, product functionality, and system intelligence
Collaborate with senior engineers and technical leaders to solve complex, cross-product challenges
Work across a variety of SaaS products with differing architectures and requirements
Contribute to and maintain CI/CD pipelines and modern development workflows
Write clean, maintainable, and scalable code aligned with best practices
Operate effectively in a fast-paced, tiger team environment with shifting priorities
Position Overview
We are seeking a Principal AI Software Engineer with strong Java expertise and AI integration experience to join a newly formed AI Tiger Team. This team operates as an elite, fast-moving engineering group focused on embedding AI capabilities into existing software products, rather than building AI models from scratch.
The role is highly hands-on and will involve working across multiple priority products, each with unique architectures, users, and technical challenges. Engineers on this team are expected to be adaptable, technically deep, and comfortable moving between different problem spaces and codebases.
This is an ideal opportunity for a senior engineer who enjoys ambiguity, complex systems, and real-world AI adoption in production environments.