Principal Software Engineer - AI Enabled Product Development

· Help architect and build a new technology capability from the ground up.

· Take ownership of key technical and architectural decisions.

· Stay deeply hands-on with software development, design and code.

· Build AI-enabled solutions using strong, proven software engineering practices.

· Explore architectural alternatives, prototype ideas and evaluate different technical approaches.

· Determine how existing Infor technologies and external platforms can be effectively leveraged and integrated.

· Design maintainable, scalable solutions built for long-term use, not just rapid initial delivery.

· Work with modern AI technologies, including LLMs and Retrieval-Augmented Generation (RAG).

· Help establish engineering standards, development practices and architectural principles for a newly formed team.

· Work with a high degree of autonomy, identifying problems and opportunities rather than relying on highly detailed task direction.

· Collaborate closely with experienced technical colleagues as the capability grows.

Experience with some of the following would be particularly relevant:

· Python

· JavaScript / TypeScript

· AI and Large Language Models

· Retrieval-Augmented Generation (RAG)

· Java

· Systems architecture

· Product engineering

· Building new products, platforms or capabilities from the ground up

· Integrating multiple technologies, platforms and systems

Python and JavaScript/TypeScript are preferred rather than strict requirements. We’re more interested in the depth of your engineering experience, architectural thinking and ability to learn and adapt than whether you match every technology on the list.

We’re looking for someone with substantial experience building and architecting software systems, ideally alongside practical experience with modern AI technologies.

You might describe yourself as an architect, but you still want to code.

You enjoy operating at a senior technical level without becoming several layers removed from engineering and delivery. You like tackling problems where the answer isn’t immediately obvious, exploring different possibilities and turning promising ideas into robust software.

You’re energized by a way of working that looks something like:

Build. Experiment. Learn. Improve. Build again.

Most importantly, you’re comfortable entering situations where the complete answer isn’t known yet. You bring the technical experience, curiosity and judgment to help the team find it.

“We don’t know the complete answer yet, but I know how to work through the problem and help us find it.”

This is a chance to influence both what gets built and how it gets built.

You’ll join at a stage where important architectural choices are still being made, engineering practices are being established and new ideas can have a meaningful impact on the direction of the capability.