At a Glance
- Tasks: Design and deliver AI-powered systems while collaborating with experienced engineers and data scientists.
- Company: Join a remote-first tech company focused on innovative AI solutions.
- Benefits: Flexible remote work, competitive salary, and structured mentoring for career growth.
- Other info: Collaborative culture that values learning and continuous improvement.
- Why this job: Make a real impact by building intelligent applications that transform industries.
- Qualifications: 2 years in software engineering or AI, with strong problem-solving skills and Python knowledge.
The predicted salary is between 40000 - 50000 £ 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 is technically curious, eager to learn, and motivated to build real-world AI systems that create impact.
Key Responsibilities
- Support the design, build and deployment of applied AI systems under the guidance of senior engineers.
- 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.
Skills, Knowledge and Expertise
- 2 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) or containerisation concepts is advantageous.
- Strong willingness to learn and take feedback constructively.
- Clear communication skills and ability to work effectively in a team environment.
Desirable
- Exposure to Generative AI, LLM APIs, or retrieval‑based systems through projects or coursework.
- Experience with Git, CI/CD pipelines or modern development workflows.
- Personal, academic or open‑source projects demonstrating applied AI or software engineering capability.
Benefits
- Remote‑first working with flexibility around client needs.
- Opportunity to work on meaningful AI projects across multiple industries.
- Structured mentoring and professional development from senior AI engineers.
- A collaborative culture focused on learning, excellence and continuous improvement.
- Competitive salary with clear progression pathways into senior engineering roles.
Applied AI Engineer employer: Nasstar
As an Applied AI Engineer at our company, you will thrive in a remote-first environment that champions flexibility and work-life balance. We offer a collaborative culture where continuous learning is encouraged, alongside structured mentoring from experienced engineers, ensuring your professional growth while working on impactful AI projects across diverse industries. With competitive salaries and clear pathways for progression into senior roles, we are committed to fostering an engaging and rewarding workplace for all our employees.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech community, attend meetups or webinars, and connect with potential colleagues on LinkedIn. 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 projects, especially those involving AI and machine learning. This is your chance to demonstrate your technical depth and problem-solving abilities, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your coding skills and understanding AI concepts. Practice common technical questions and be ready to discuss your past projects. Remember, confidence is key, so believe in your abilities!
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your relevant experience and enthusiasm for AI engineering – it’ll make you stand out!
We think you need these skills to ace Applied AI Engineer
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let us see your enthusiasm for AI and machine learning. Share any personal projects or experiences that highlight your curiosity and eagerness to learn in this field.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to reflect the skills and experiences mentioned in the job description. We want to see how your background aligns with the role of an Applied AI Engineer.
Highlight Your Technical Skills:Don’t forget to showcase your programming skills, especially in Python, and any experience you have with cloud platforms or AI/ML tools. This is your chance to demonstrate your technical depth!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Nasstar
✨Know Your AI Stuff
Make sure you brush up on your knowledge of machine learning concepts and AI frameworks. Be ready to discuss any relevant projects you've worked on, especially those involving Python or cloud platforms like AWS or Azure. This shows you're not just familiar with the theory but can apply it in real-world scenarios.
✨Show Off Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in previous roles. Think of specific examples where you designed, built, or deployed AI systems. Highlight your thought process and the impact of your solutions. This will demonstrate your technical curiosity and problem-solving abilities.
✨Get Ready for Technical Discussions
Expect to engage in code reviews or technical discussions during the interview. Brush up on clean coding practices and be prepared to explain your coding choices. This is a great opportunity to showcase your collaborative spirit and willingness to learn from feedback.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's AI projects and team dynamics. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values. Plus, it’s a great way to demonstrate your eagerness to contribute to their mission.
