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- Tasks: Join us in building a superhuman AI financial modelling agent and tackle exciting engineering challenges.
- Company: We're on a mission to revolutionise financial modelling for executives worldwide.
- Benefits: Enjoy the potential for financial freedom and a vibrant company culture.
- Why this job: Be part of a groundbreaking project with significant impact and growth opportunities.
- Qualifications: Top-notch engineering skills; experience in competitive programming or AI is a bonus.
- Other info: Help shape our inspiring culture while solving real-world problems.
The predicted salary is between 36000 - 60000 £ per year.
Our mission is to build a superhuman AI financial modelling agent for every executive in the world. Financial models underpin every important decision a company makes. The process of building them today is broken - financial modelling is, by far, the worst-tooled form of programming. We think there is a $100bn+ opportunity to fix that - think of us as Cursor → Lovable for financial models.
More than that, you will help us grow the company, build an inspiring culture, and solve the thousands of unanticipated problems that come with that.
You will help us deliver our immediate technical priorities, including:
- Performance optimisation
- Hybrid search pipelines
- Model post-training
- Production engineering
- Problem-solving input into key engineering decisions
A top-decile engineer. Experience in any of the following is a plus, but not required: competitive programming, Typescript + React, AI Agents, DevOps.
Financial freedom if we succeed.
Engineer building employer: Tracelight
Contact Detail:
Tracelight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineer building
✨Tip Number 1
Familiarise yourself with the latest trends in AI and financial modelling. Understanding how these technologies are evolving will not only help you during interviews but also show your genuine interest in our mission.
✨Tip Number 2
Engage with our community on social media or forums related to financial technology. This can provide insights into the challenges we face and demonstrate your proactive approach to problem-solving.
✨Tip Number 3
Prepare to discuss specific examples of how you've optimised performance or solved complex engineering problems in your previous roles. We value practical experience and innovative thinking.
✨Tip Number 4
Network with current employees or alumni who have worked in similar roles. They can offer valuable insights into our company culture and what it takes to succeed as an engineer at StudySmarter.
We think you need these skills to ace Engineer building
Some tips for your application 🫡
Understand the Mission: Familiarise yourself with the company's mission to build a superhuman AI financial modelling agent. Reflect this understanding in your application, showcasing how your skills align with their goals.
Highlight Relevant Experience: Emphasise any experience you have in performance optimisation, hybrid search pipelines, or production engineering. Even if you lack direct experience, relate your problem-solving skills to the key engineering decisions mentioned in the job description.
Showcase Technical Skills: If you have experience with competitive programming, Typescript, React, AI Agents, or DevOps, make sure to highlight these skills. Use specific examples to demonstrate your proficiency and how it can benefit the company.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also conveys your enthusiasm for the role and the company's vision. Make it personal and engaging to stand out from other applicants.
How to prepare for a job interview at Tracelight
✨Understand the Mission
Make sure you grasp the company's mission to build a superhuman AI financial modelling agent. Be prepared to discuss how your skills and experiences align with this goal, and think about how you can contribute to solving the challenges they face.
✨Showcase Problem-Solving Skills
Since the role involves tackling unanticipated problems, be ready to share examples of how you've approached complex issues in the past. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Familiarise Yourself with Technical Priorities
Research the technical priorities mentioned in the job description, such as performance optimisation and hybrid search pipelines. Prepare to discuss relevant experiences or projects that demonstrate your understanding and capabilities in these areas.
✨Highlight Relevant Experience
Even if you don't have direct experience in competitive programming or AI agents, think about transferable skills from your background. Be ready to explain how your previous roles have equipped you for this position, especially in production engineering and model post-training.
