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For Companies At a Glance
- Tasks: Join a dynamic team to build innovative AI-powered software using TypeScript and LLM integration.
- Company: Be part of an exciting AI start-up at the forefront of technology.
- Benefits: Enjoy remote work flexibility, competitive salary, and equity options.
- Why this job: Contribute to cutting-edge projects that enhance user experiences with advanced AI technologies.
- Qualifications: Experience in web applications, AI integration, and a passion for fast-paced development is essential.
- Other info: Opportunity to work with modern tech stacks and make a real impact in the AI space.
The predicted salary is between 48000 - 72000 £ per year.
A hugely exciting AI start-up is seeking several experienced Full-Stack Engineers to join a dynamic product team, focused on building innovative software powered by cutting-edge AI technologies. This is a unique opportunity for a passionate developer to contribute to an ambitious product and work at the forefront of AI integration.
About the Role
The successful candidate will work within a unified codebase that powers both the B2B software platform and its custom AI capabilities. Responsibilities will span the full feature lifecycle, from design (including data structures) to AI integration, enhancing user experiences through advanced Large Language Models.
Key Responsibilities
- Build and maintain web application features using TypeScript, React, Node + Next.js
- Contribute to and maintain a monorepo that includes both the B2B SaaS platform and AI/LLM modules
- Integrate and optimize commercially available LLMs (e.g., OpenAI, Gemini) via prompt engineering and inference pipeline management
- Implement multi-step LLM workflows using orchestration frameworks such as LangChain.
- Design and optimize the MySQL database
- Develop and maintain type-safe RPC endpoints using tRPC and TypeScript to ensure smooth frontend-backend communication
- Rapidly onboard to a modern TypeScript stack to support high-velocity feature development
Required Qualifications
- Proven experience working in a unified codebase combining application logic and AI/LLM components
- Strong proficiency in building modern web applications with Next.js, tRPC, TypeScript, and Prisma
- Practical experience integrating with AI models such as ChatGPT or Gemini, including prompt engineering and API management
- Familiarity with tools like LangChain (or similar) to implement multi-step AI workflows
- A demonstrated ability to learn quickly and deliver functional features in a fast-paced environment
Preferred Qualifications
- Experience deploying and fine-tuning custom AI models
- Prior experience developing B2B software platforms with multi-user functionality
Full-Stack Engineer (TypeScript & LLM Integration) - £80K, Remote UK employer: Job Traffic
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full-Stack Engineer (TypeScript & LLM Integration) - £80K, Remote UK
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and LLM technologies. Being able to discuss recent developments or trends during your interview can showcase your passion and knowledge, making you a standout candidate.
✨Tip Number 2
Engage with the developer community on platforms like GitHub or Stack Overflow. Contributing to open-source projects related to TypeScript or AI can not only enhance your skills but also demonstrate your commitment to continuous learning.
✨Tip Number 3
Prepare to discuss specific projects where you've integrated AI models or worked with TypeScript and Next.js. Having concrete examples ready will help you illustrate your experience and problem-solving abilities effectively.
✨Tip Number 4
Network with current employees or alumni from the company through LinkedIn. A referral can significantly boost your chances of landing an interview, so don't hesitate to reach out and express your interest in the role.
We think you need these skills to ace Full-Stack Engineer (TypeScript & LLM Integration) - £80K, Remote UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with TypeScript, Next.js, and AI integration. Use specific examples of projects where you've built web applications or worked with LLMs to demonstrate your skills.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI technologies and how you can contribute to the company's goals. Mention any relevant experience with prompt engineering and multi-step workflows, as these are key aspects of the role.
Showcase Relevant Projects: If you have personal or professional projects that involve the technologies mentioned in the job description, include them in your application. This could be links to GitHub repositories or live demos that showcase your skills in building modern web applications.
Highlight Learning Agility: Since the role requires rapid onboarding to a modern TypeScript stack, emphasise your ability to learn quickly. Provide examples of how you've adapted to new technologies or frameworks in the past, which will show your potential to thrive in a fast-paced environment.
How to prepare for a job interview at Job Traffic
✨Showcase Your Technical Skills
Be prepared to discuss your experience with TypeScript, Next.js, and AI integration. Bring examples of past projects where you've successfully implemented these technologies, as this will demonstrate your capability to handle the responsibilities outlined in the job description.
✨Understand the Company’s AI Focus
Research the latest trends in AI and how they relate to the company's products. Being knowledgeable about Large Language Models and their applications will show your genuine interest in the role and help you engage in meaningful discussions during the interview.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills, especially related to integrating AI models and optimising workflows. Practice coding challenges or system design scenarios that reflect the job's requirements to boost your confidence.
✨Demonstrate Your Adaptability
Highlight your ability to learn quickly and adapt to new technologies, especially in a fast-paced environment. Share specific examples of how you've successfully onboarded to new tech stacks or tackled unfamiliar challenges in previous roles.
