Applied AI Software Engineering - Smplicare

Help us reimagine later life.

At Smplicare, we build simple, smart technology to help prevent falls in later life. We’re looking for an Applied AI Software Engineer to support the delivery of a key workstream within our funded project STEADI, an innovative research and development programme funded by Scottish Enterprise.

About the Project

Smplicare is developing a platform that helps older adults and carers understand and manage changes in frailty and fall risk. As part of this work, we are building an AI-assisted system for discovering reliable health information and converting approved sources into accessible content for our self-management mobile app.

The system will use large language models to search for relevant and approved health-information sources across a range of categories, summarise them for review, generate structured content drafts along with appropriate metadata and tags, and store outputs in our content management system.

You will help contribute to planning, and then take ownership of the defined technical project by prototyping and evaluating the system. You will work collaboratively with data, engineering, product, and clinical teams throughout. This is a hands-on software engineering project with significant opportunity to influence how the system is designed and delivered.

What You’ll Do

• Design and build an LLM-assisted pipeline for discovering relevant health-information sources on the web.
• Produce structured source summaries and information for human review.
• Build a pipeline that converts approved sources into app-content drafts.
• Generate proposed content metadata and tags using an agreed schema.
• Implement auditability across the pipeline.
• Contribute to the integration of approved drafts with production systems.
• Create evaluation systems for source quality and content accuracy.
• Investigate technical options independently, document decisions and communicate progress regularly
• Write maintainable code and clear technical documentation.
• Self-manage project backlog, communicate progress, and raise issues early.
• Collaborate with data, engineering, product, and clinical teams.

What success looks like

By the end of the internship, we expect you to have delivered:

• A working prototype covering web discovery through to reviewed drafts
• A repeatable method for evaluating discovered sources and generated content.
• Tested and documented software that can form the basis of a production system.
• Documentation around ideas, decisions, implementation approaches, limitations, and risks.

Who we’re looking for:

We are looking for someone who:

• Is studying towards, or has recently completed, a degree in computer science, software engineering, health informatics, data science or any related subject / experience.