Description:
AI engineer; it’s for someone curious, hands‑on, and excited to bring structure to complex problems.
Responsibilities
- Build and maintain AI‑driven tools, automations, and prototypes
- Develop Python‑based solutions that integrate with existing systems
- Work closely with data engineering teams to ensure data is clean, reliable, and ready for AI workloads
- Apply responsible AI principles, including bias assessment and robust testing
- Help define best practices and contribute to a gold‑standard AI engineering approach
- Support the creation of orchestration layers across multiple AI platforms
- Collaborate with stakeholders to refine use cases and deliver measurable value
Qualifications
You don’t need loads of AI delivery behind you, but you do need curiosity, practical experience, and a willingness to learn fast.
Required Skills
- Hands‑on with Python and at least one modern AI platform
- Comfortable experimenting, iterating, and learning quickly
- Able to bring clarity to ambiguous requirements
- Strong communicator who can explain technical concepts simply
- Passionate about building AI responsibly and safely
Preferred Skills
- Are comfortable working in ambiguity
- Bring structure and clarity to complex, messy problems
- Think logically and methodically
- Understand the importance of rigorous testing
- Can assess bias and build responsibly
- Enjoy collaborating across data, engineering, and product teams