AI Systems Engineer
About the role
- Collaborate directly with the AI & Digital Innovation lead on AI and software initiatives
- Develop and maintain AI-powered internal applications and services
- Build APIs, backend services, and integrations that support AI workflows
- Bachelor’s degree required; Master’s degree preferred in Artificial Intelligence, machine learning, Computer Science, Software Engineering, or related technical field, or equivalent practical experience
- Some professional, academic, or project-based experience building AI/ML or intelligent software systems
- Strong programming experience with Python and backend development concepts
- Familiarity with modern AI concepts such as: LLMs, RAG systems, Embedding/vector search, AI Workflow automation
- Strong problem-solving skills and willingness to learn new technologies
- Ability to work collaboratively in a fast-moving development environment
- Experience with AI frameworks or tools such as: Ollama, LangChain, OpenAI APIs, FastAPI, Pytorch or TensorFlow (preferred)
- Familiarity with Linux, Docker, or GPU-based systems (preferred)
- Experience with SQL databases and API development (preferred)
- Exposure to ERP systems, manufacturing systems, automation, or operational software is a plus
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
