At a Glance
- Tasks: Join a team to research and prototype AI applications for the construction industry.
- Company: nPlan is a fast-growing startup transforming construction project management with deep learning technology.
- Benefits: Enjoy flexible working hours, unlimited holiday, private medical insurance, and equity options.
- Why this job: Make a real impact on global infrastructure projects while working in a collaborative, inclusive environment.
- Qualifications: Experience with LLM applications, Python, and building APIs; passion for AI and innovation required.
- Other info: Visa sponsorship available; we value diversity and offer a supportive workplace for all.
The predicted salary is between 60000 - 84000 £ per year.
We are looking for an AI Engineer to join nPlan’s Experimental Research Department (nERD). In this role, you will be working collaboratively with ML engineers, software engineers and data scientists to shape the future of the construction industry by building cutting edge AI applications. This is a remote role, however, occasional travel will be required to London, UK for company offsites and to collaborate with the rest of the team in person. If you are based in London, we have an office you can use as frequently as you like.
Join our research department which prototypes and ships exciting new products that change the way construction projects are managed. We are a very fast-growing Series A startup with investors including GV (formerly known as Google Ventures) and Demis Hassabis (founder of DeepMind). Base salary of £70k-100k depending on experience, along with equity package. Flexible working hours & locations - so long as you can do our core hours of 11am-3pm GMT Mon-Fri, we’re happy. Enhanced benefits package including private medical insurance, unlimited holiday allowance, and enhanced family and sick leave policies.
Our purpose is to inspire the world to forecast correctly and empower it to tackle risk, powered by our deep learning technology and its unique ability to forecast the outcomes of construction projects. We’re on a mission to change how construction projects are planned, managed and executed, and in the process unlock a trillion dollars of new project value for the world through our data-driven forecasting.
You’ll be joining a world class and well funded team, backed by top investors including GV (formerly known as Google Ventures) that all believe in the future we are creating. We’ve been on a tremendous growth trajectory, and we’ve got very ambitious growth plans for 2025 and beyond.
What you’ll do in this role:
- Research and prototype new applications of AI for the construction domain, pushing the boundaries of what’s possible.
- Build core infrastructure that allows us to build LLM apps quickly - this includes observability, how we work with several LLM providers + our own fine tuned models.
- Work with ML engineers and data scientists in our research team to bring new models and applications to production.
- Be a leader in best practices and implementing AI across the whole company, keeping up to date with latest advancements and how they impact nPlan.
- Ideate and implement new features and functionality, and maintain LLM pipelines for both real time inference and development.
About you:
- You love to build products in a fast-paced environment with a super high degree of autonomy.
- You keep up to date with the latest developments in AI and love to experiment with new models.
- You have shipped LLM applications to production.
- You have experience with LLM evaluation and the development lifecycle of LLM features.
- You are really comfortable working with Python and building APIs using frameworks such as FastAPI or Django.
Please mention the word ‘crane’ in your application.
Nice-to-haves:
- You have experience working with Google Cloud.
- Familiarity with Go, Typescript.
What working at nPlan will be like:
We are still a relatively small team so there is plenty of opportunity for a high degree of ownership over different areas of the product, and you will be directly exposed to all areas of the business. Your voice will always be heard. What you do or say counts, not who you are or where you’re from. We have three core values that underlie everything we do: Learn from Everything, Be Radically Truthful, and Aim High, Run Fast. These enable us to create a collaborative, inclusive environment where we can move effectively and efficiently to implement the best solutions.
We are a cross-disciplinary team, and come from all backgrounds and countries. We are able to offer Visa sponsorship and contribute to relocation costs for this role. Fantastic benefits package for Health & Wellbeing, Learning & Development, family leave, team meals and more. We are committed to addressing the diversity problem in the tech industry, and that starts with making sure we have a diverse team where everyone feels at home and can contribute as an equal. Having time to yourself and a private life is important. We offer a very flexible work environment and a generous holiday policy. We are working hard to create a workplace that is inclusive to everyone, no matter their background, or where they are in life. We believe that only a truly diverse place can create great products that serve a wide audience and improve the world. We believe in equality of opportunities and that’s why we make sure that these ideas are reflected in our values, and that we really apply these in all aspects of our company culture. If you have a need for any adjustments during our interview process, let us know and we will do our best to accommodate them.
AI Engineer employer: Tangible
Contact Detail:
Tangible Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI, particularly in the construction domain. This will not only help you understand the company's mission but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your experience with LLM applications by preparing specific examples of projects you've worked on. Be ready to discuss the challenges you faced and how you overcame them, as this demonstrates your problem-solving skills.
✨Tip Number 3
Highlight your collaborative skills by discussing past experiences where you worked closely with ML engineers or data scientists. Emphasising teamwork will resonate well with nPlan's focus on collaboration within their research department.
✨Tip Number 4
Make sure to mention the word 'crane' in your application as instructed. This shows attention to detail and that you can follow directions, which is crucial in a fast-paced environment like nPlan.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI and machine learning, particularly any projects involving LLM applications. Use specific examples that demonstrate your skills and achievements in these areas.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and the construction industry. Mention how your background aligns with nPlan's mission and values, and don't forget to include the word 'crane' as requested.
Showcase Your Technical Skills: Clearly outline your technical skills, especially your proficiency in Python and experience with frameworks like FastAPI or Django. If you have worked with Google Cloud or have familiarity with Go or Typescript, make sure to mention that too.
Demonstrate Your Collaborative Spirit: Since this role involves working closely with ML engineers and data scientists, highlight any previous collaborative projects. Discuss how you contributed to team success and your approach to sharing knowledge and best practices.
How to prepare for a job interview at Tangible
✨Show Your Passion for AI
Make sure to express your enthusiasm for AI and its applications in the construction industry. Share any personal projects or experiences that highlight your love for building innovative solutions.
✨Demonstrate Technical Proficiency
Be prepared to discuss your experience with LLM applications, Python, and API frameworks like FastAPI or Django. Bring examples of past projects where you successfully implemented these technologies.
✨Familiarise Yourself with nPlan's Values
Understand nPlan's core values: Learn from Everything, Be Radically Truthful, and Aim High, Run Fast. Think of examples from your past that align with these values and be ready to share them during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the company's future plans, and how they approach AI in construction. This shows your genuine interest in the role and helps you assess if it's the right fit for you.