At a Glance
- Tasks: Design and deliver AI-powered systems while collaborating with experienced engineers and data scientists.
- Company: Join a remote-first company with a collaborative culture focused on learning and excellence.
- Benefits: Enjoy flexibility, competitive salary, and clear progression pathways into senior roles.
- Other info: Embrace a dynamic environment that encourages continuous improvement and knowledge sharing.
- Why this job: Make a real impact by working on meaningful AI projects across various industries.
- Qualifications: 2-5 years in software engineering or AI, with strong problem-solving and programming skills.
The predicted salary is between 50000 - 60000 £ per year.
We’re looking for an Applied AI Engineer to support the design and delivery of AI-powered systems for our clients. You’ll work alongside experienced engineers, data scientists and delivery teams to help build, test and deploy intelligent applications, while developing your technical depth in modern AI engineering practices. This role is ideal for someone who combines AI/ ML expertise with practical problem-solving skills and the ability to translate concepts into real-world applications.
Key responsibilities:
- Support the design, build and deployment of applied AI systems.
- Contribute to backend services, APIs and application components that integrate AI capabilities into production systems.
- Assist in experimentation, prototyping and testing of ML and Generative AI solutions.
- Write clean, maintainable, well-tested code following established engineering standards.
- Participate in code reviews and technical discussions to continuously improve engineering quality.
- Help implement monitoring, evaluation and performance tracking for AI-enabled systems.
- Collaborate with data scientists, product managers and client stakeholders to understand requirements and translate them into working solutions.
- Contribute to internal knowledge sharing and capability development as you grow.
Key skills:
- 2 - 5 years experience in a software engineering, machine learning or AI-related role.
- Solid foundation in software engineering principles and problem-solving.
- Experience programming in at least one language (Python preferred).
- Strong understanding of ML concepts and familiarity with AI/ML tooling or frameworks.
- Exposure to cloud platforms (AWS, Azure or GCP).
- Strong willingness to learn and take feedback constructively.
- Clear communication skills and ability to work effectively in a team environment.
Company 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 into senior engineering roles.
Applied AI Engineer employer: Colibri Digital
As an Applied AI Engineer with us, you'll thrive in a remote-first environment that prioritises flexibility and collaboration. Our culture is centred around continuous learning and excellence, offering you the chance to work on impactful AI projects across diverse industries while enjoying competitive salaries and clear pathways for career progression into senior roles.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, experiments, or any cool prototypes you've built. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for those interviews! Brush up on your coding skills and be ready to discuss your problem-solving approach. Practising common AI-related questions can really help you stand out.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications from passionate candidates who are eager to join our team and work on exciting AI projects.
We think you need these skills to ace Applied AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI and ML, especially any projects that showcase your problem-solving skills. We want to see how you can translate complex concepts into real-world applications, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the Applied AI Engineer role and how your background aligns with our needs. Keep it conversational but professional – we love a bit of personality!
Showcase Your Technical Skills:When applying, be sure to mention your programming experience, particularly with Python, and any familiarity with cloud platforms like AWS or Azure. We’re keen on seeing how you’ve applied these skills in past roles or projects.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to attach all your documents in one go. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at Colibri Digital
✨Know Your AI Stuff
Make sure you brush up on your AI and ML concepts before the interview. Be ready to discuss how you've applied these in real-world scenarios, especially in building and deploying AI systems. This will show that you can translate theory into practice.
✨Showcase Your Coding Skills
Since coding is a big part of this role, be prepared to demonstrate your programming skills, particularly in Python. You might be asked to solve a problem on the spot, so practice writing clean, maintainable code and be ready to explain your thought process.
✨Collaborate Like a Pro
This role involves working closely with various teams, so highlight your teamwork experience. Share examples of how you've collaborated with data scientists or product managers in the past, and how you effectively communicated technical concepts to non-technical stakeholders.
✨Be Open to Feedback
A strong willingness to learn and take feedback constructively is key. During the interview, express your eagerness to grow and improve. Discuss any past experiences where feedback helped you enhance your skills or approach to problem-solving.
