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- Tasks: Develop and implement AI models using Node.js and React.js for innovative projects.
- Company: Join a leading platform in the creator economy, driving impactful tech solutions.
- Benefits: Enjoy remote work flexibility and competitive salary up to £100K.
- Why this job: Make a real impact by shipping AI features to millions in a dynamic team environment.
- Qualifications: Expertise in Typescript, Node.js, React, and experience with LLMs required.
- Other info: Quarterly team meetings in London; must be legally authorised to work in your country.
The predicted salary is between 60000 - 84000 £ per year.
Maze is proud to be partnering on a retained basis with one of the fastest-growing platforms in the creator economy space to hire a Senior Full Stack AI Engineer. This is a high-impact role for an expert Full Stack Engineer with demonstrable experience implementing AI models in production.
Key Requirements
- Subject Matter Expert (SME) with Typescript, Node.js, React, Next.js
- Strong experience with LLMs, Image/Video generation, classification
- Strong experience implementing AI models in production, through projects such as chatbots
- Solid backend knowledge: APIs, caching, relational/non-relational databases
Really nice to have
- Experience with GraphQL, tRPC, TanStack, AWS, Prisma
Why join?
- Own and ship real AI features to millions — fast
- Help build the next-gen chat automation, AI voice, and LLM-enhanced experiences
- Work in a product-first, execution-obsessed team
Location: Remote within Europe - quarterly team meetings in London. This role does not provide sponsorship and you must be legally authorised to work in the country you currently reside in. If you match these requirements, please apply within!
Senior Full Stack AI Engineer | Node.js | React.js | LLMs | Remote Europe | Up to £100K employer: Maze
Contact Detail:
Maze Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Full Stack AI Engineer | Node.js | React.js | LLMs | Remote Europe | Up to £100K
✨Tip Number 1
Familiarise yourself with the latest trends in AI and LLMs. Being able to discuss recent advancements or projects you've worked on can set you apart during interviews.
✨Tip Number 2
Network with professionals in the AI and tech community. Attend relevant meetups or webinars to connect with others in the field, which could lead to valuable referrals.
✨Tip Number 3
Prepare to showcase your experience with Node.js and React.js through practical examples. Be ready to discuss specific projects where you've implemented these technologies effectively.
✨Tip Number 4
Research the company’s products and their impact on the creator economy. Understanding their mission and how your skills can contribute will help you stand out as a candidate.
We think you need these skills to ace Senior Full Stack AI Engineer | Node.js | React.js | LLMs | Remote Europe | Up to £100K
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Node.js, React.js, and LLMs. Use specific examples of projects where you've implemented AI models in production to demonstrate your expertise.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the creator economy and how your skills align with the company's mission. Mention any relevant experience with chatbots or AI features that you've developed.
Showcase Relevant Projects: Include a portfolio or links to projects that showcase your work with AI models, especially those involving image/video generation or classification. This will help illustrate your capabilities to the hiring team.
Highlight Soft Skills: Don't forget to mention your ability to work in a product-first, execution-obsessed team. Highlight any experiences that demonstrate your teamwork, communication skills, and adaptability in a remote work environment.
How to prepare for a job interview at Maze
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Node.js, React.js, and Typescript in detail. Bring examples of projects where you've implemented AI models, particularly focusing on LLMs and any chatbots you've developed.
✨Demonstrate Problem-Solving Abilities
Expect technical questions that assess your problem-solving skills. Practice coding challenges or system design scenarios related to AI implementation, as this will help you articulate your thought process during the interview.
✨Understand the Company’s Vision
Research the company and its role in the creator economy. Be ready to discuss how your skills can contribute to their mission of building next-gen AI features and enhancing user experiences.
✨Prepare Questions for the Interviewers
Have insightful questions ready about the team dynamics, project timelines, and the technologies they use. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
