Supports the design, development, and deployment of applied AI systems under senior engineer guidance. Contributes to AI feature development, follows engineering standards, participates in code reviews and technical discussions, and builds expertise across modern AI and cloud technologies. The role emphasizes learning, collaboration, and progression toward more senior engineering responsibilities.
As trusted partners of AWS and Databricks, we help organisations design, build and scale intelligent systems that deliver measurable business outcomes. We lead from the front in Generative and Applied AI adoption — guiding clients from uncertainty to confident, production-grade delivery.
This is an early-career role in our Engineering practice — the building work that takes AI from concept to production. As an Applied AI Engineer you'll support the design, build and deployment of applied AI systems under the guidance of senior engineers, learning our tools, patterns and standards as you grow. It's a role for someone technically curious and eager to learn, with clear progression into more senior engineering roles.
The role is remote based in UK with the occasional travel to company events.
This is an early-career role in our Engineering practice — the building work that takes AI from concept to production. As an Applied AI Engineer you'll support the design, build and deployment of applied AI systems under the guidance of senior engineers, learning our tools, patterns and standards as you grow. It's a role for someone technically curious and eager to learn, with clear progression into more senior engineering roles.
The role is remote based in UK with the occasional travel to company events.
Key Responsibilities
- Delivery & impact: Contribute to defined build tasks within a delivery; complete AI features to standard, with support from the team.
- AI & engineering craft: Build fundamentals across the tech stack; apply established patterns and follow engineering standards under review.
- Collaboration: Work effectively within the team; participate in code reviews and technical discussions to improve engineering quality.
- Growth & capability: Learn actively and grow your capability; contribute to internal knowledge sharing as you develop.
Skills, Knowledge and Expertise
Essential
- Early-career experience — industry, internship or academic — in software engineering, machine learning or AI-related development.
- Foundations in programming (Python and/or a related language) and a genuine eagerness to learn.
- A collaborative, curious mindset and clear communication.
Desirable
- Exposure to GenAI/LLMs, RAG, cloud platforms (AWS and/or Databricks), or modern data/ML tooling.
- Personal, academic or open-source projects that show your interest in applied AI.
Benefits
- Remote-first working with flexibility around client needs.
- Opportunity to work on meaningful AI projects across multiple industries.
- A collaborative culture focused on learning, excellence and continuous improvement.
- Competitive salary with clear progression pathways.
About
We are passionate about helping businesses navigate the rapidly changing and complex world of emerging technologies. We create well-structured, secure, scalable solutions at speed to provide the foundation for groundbreaking change.
Nasstar Belfast, Northern Ireland Office
Belfast, United Kingdom
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