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- Tasks: Design and implement intelligent solutions using TypeScript and Node for AI applications.
- Company: Join a scaling tech company transforming electronic trading in the FX options market.
- Benefits: Earn up to £100k, enjoy stock options, 25 days holiday, and remote work flexibility.
- Why this job: Make a real impact in a fast-paced environment while working with cutting-edge AI technologies.
- Qualifications: Experience in TypeScript, Node.js, and LLMs; strong collaboration and communication skills.
- Other info: Remote-first policy with team meet-ups in London every two months.
The predicted salary is between 43200 - 72000 £ per year.
Are you a senior technologist with experience of putting LLMs into production? You could be joining a scaling tech company that has developed a digital distribution platform transforming electronic trading in the institutional FX options market via a central marketplace where institutions can place, discover and match option interests electronically - improving liquidity and efficiency for all participants as the platform scales.
As an AI Software Engineer you will collaborate with a small team of technologists and successful entrepreneurs to design and implement intelligent solutions to business needs, with a focus on TypeScript and Node backend systems as well as productionising LLMs. You will help to ensure best practices are maintained and participate in code reviews to maintain sound engineering practices and share knowledge with the team.
Location / WFH: There is a remote first policy, with the caveat that you will meet up with the team in London once every two months, so you can work from home most of the time.
About you:
- You have experience of building enterprise grade systems that are reliable, secure, maintainable and observable.
- You have strong TypeScript, Node.js and Python backend development skills.
- You have used AI tools (such as Claude.ai, Cursor) and are comfortable and interested in how to use them to improve efficiency.
- You have experience with LLMs in production.
- You have experience of building event-driven systems and public APIs.
- You have a strong appreciation of SaaS, Kubernetes, Infrastructure as Code, GitOps, CI/CD practices and Cloud infrastructure (they use GCP but AWS experience is also fine).
- You have some experience with front end work using React (or similar).
- You are comfortable in a fast paced, sometimes ambiguous start-up environment with changing priorities.
- You are collaborative and pragmatic with great communication skills.
What’s in it for you:
- Salary to £100k
- Stock options
- 25 days holiday
- Impactful role with excellent career growth
- Remote working
Apply now to find out more about this opportunity.
AI Software Engineer LLM TypeScript Node in City of London employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Software Engineer LLM TypeScript Node in City of London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the game. You never know when a casual chat could lead to your next big opportunity.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of projects that highlight your TypeScript and Node.js skills, especially any work with LLMs. This will give you an edge and make you memorable.
✨Ace the Interview
Prepare for those interviews by brushing up on common technical questions and coding challenges. Practice explaining your thought process clearly, as communication is key in a collaborative environment like ours.
✨Apply Through Our Website
We love seeing applications come through our website! It shows you’re genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace AI Software Engineer LLM TypeScript Node in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with TypeScript, Node.js, and LLMs. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit for our team. We love seeing passion and personality!
Showcase Your Projects: If you've worked on any interesting projects involving AI tools or event-driven systems, make sure to mention them. We’re keen to see how you’ve applied your skills in real-world scenarios!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Client Server
✨Know Your Tech Stack
Make sure you brush up on your TypeScript, Node.js, and Python skills. Be ready to discuss how you've used these technologies in past projects, especially in relation to building enterprise-grade systems. Highlight any experience with LLMs and AI tools, as this will be crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Think about examples where you implemented intelligent solutions or improved efficiency using AI tools. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Understand the Company’s Mission
Familiarise yourself with the company’s digital distribution platform and its impact on the FX options market. Being able to articulate how your skills can contribute to their mission will show that you're genuinely interested and invested in the role.
✨Be Ready for Collaboration Questions
Since the role involves working closely with a small team, prepare to discuss your collaborative experiences. Think of examples where you participated in code reviews or shared knowledge with colleagues. This will highlight your teamwork skills and your fit within their culture.
