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- Tasks: Build and ship AI-powered features across the full stack for a cutting-edge SaaS platform.
- Company: Join a dynamic UK-based SaaS scale-up focused on innovative data visualisation.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Why this job: Dive into real-world AI applications and enhance user interactions with data.
- Qualifications: 2-3 years of experience with TypeScript, React, and Python; passion for AI.
- Other info: Fully remote role for UK-based candidates with excellent career development prospects.
The predicted salary is between 36000 - 60000 £ per year.
Method Resourcing is working with a UK-based SaaS scale-up building a next-generation data visualisation and diagram-driven platform, helping users interact with complex data, documents, and visuals in intuitive ways. They’re now looking for a Full Stack AI Engineer to help take AI-powered features from proof of concept into production as the product continues to scale. This role is particularly well suited to engineers early in their career who already have strong hands-on experience and want to deepen their exposure to AI in a real production environment.
What you’ll be doing:
- Building and shipping AI-powered features across the full stack
- Taking ideas from POC to production
- Working with TypeScript, React, and Python on a live SaaS product
- Enhancing how users interact with data, documents, images, and diagrams using natural language
- Evaluating and improving model and feature performance
- Learning and collaborating closely with experienced software and AI engineers
AI is treated as a core part of software engineering, with strong emphasis on performance, security, and best practices.
This role is a great fit if you:
- Have 2–3 years of commercial experience
- Are already hands-on with TypeScript, React, and Python
- Have solid software engineering fundamentals
- Are interested in AI / LLM-powered features and keen to build real-world experience
- Enjoy building, shipping, and learning rather than just talking about tech
Bonus (not essential):
- Exposure to infrastructure or data-heavy systems
- Any experience integrating AI, LLMs, or automation into product
Please note this employer is unable to offer visa sponsorship. Whilst this role is fully remote, candidates must be UK based.
Fullstack AI Engineer employer: Method Resourcing
Contact Detail:
Method Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fullstack AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're interested in. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving TypeScript, React, and Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your AI knowledge and coding skills. Practice common technical questions and be ready to discuss how you've applied your skills in real-world scenarios. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Fullstack AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with TypeScript, React, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about AI and how you’ve applied it in your work. We love seeing passion and enthusiasm, so let that come through in your writing.
Showcase Your Projects: If you've worked on any AI-powered features or data visualisation projects, make sure to mention them! We’re keen to see real-world applications of your skills, so include links or descriptions of your work.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Method Resourcing
✨Know Your Tech Stack
Make sure you’re well-versed in TypeScript, React, and Python. Brush up on your knowledge of these technologies, as you’ll likely be asked to discuss your experience with them. Be ready to share specific examples of projects where you’ve used these tools.
✨Showcase Your AI Passion
Since this role focuses on AI-powered features, demonstrate your enthusiasm for AI and LLMs. Talk about any relevant projects or experiences you've had, even if they were just proof of concepts. This will show that you're not just technically skilled but also genuinely interested in the field.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving skills, especially in a full-stack context. Practice coding challenges or system design problems that involve integrating AI features. This will help you think on your feet during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI and how they envision the future of their product. This shows that you’re not only interested in the role but also invested in the company’s mission and direction.
