AI Engineer, nPlan
Platform
£70-100k
Generous equity
More information about location
Machine learning to improve construction projects
Open for applications
Machine learning to improve construction projects
21-100 employees
Open for applications
£70-100k
Generous equity
More information about location
21-100 employees
Company mission
nPlan's vision is that all construction projects should be built on time and budget, enabling the cities of the future to be built better.
Role
Who you are
- 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 and generative AI based 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
- This role is ideal for someone who thrives on technical depth, intellectual challenge, and impact at scale
What the job involves
- We are looking for an AI Engineer to join nPlan’s Engineering team
- We work with complex graph data (each with 10,000+ nodes), applying multiple ML and LLM approaches to understanding the data, extracting meaningful insights from it using a proprietary forecasting engine, and empowering deep human interactions - all of which must work efficiently and robustly in production
- You’ll drive the design and implementation of AI features across our product set, taking ideas from inception to release - working with the Product organisation as fellow product and research engineers.
- You’ll work alongside top engineers, machine learning specialists, and AI experts, shaping the future of project intelligence
- We are a very fast-growing Series A startup with investors including GV (formerly known as Google Ventures) and Demis Hassabis (founder of DeepMind)
- The types of work you will be doing include:
- Prototype, implement and help support new applications of AI for the construction domain, pushing the boundaries of what’s possible
- Build core infrastructure that allows us to build and ship LLM apps quickly - this includes observability, how we work with several LLM providers + our own fine tuned models
- Work with other engineers in the product and research teams 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
Application process
- 1. 30 minute screening call
- 2. 60 minute technical exercise
- 3. 60 minute values call
- 4. Final stage (in-person or remote)
Salary benchmarks
Our take
nPlan is leading the drive to improve decision-making in construction by applying machine learning to dramatically improve how information is retained and utilised to influence risk and uncertainty.
It noticed the construction industry has remained static for decades and projects are consistently not delivered on time or budget. With intelligent software, nPlan has started to change the fundamentals of the industry and improve the outcome for all stakeholders.
Having already worked with some of the biggest construction and infrastructure companies in the world, including Network Rail and Google, the company completed its Series A at the start of 2021 with GV as its lead investor.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Oct 2025
$16m
SERIES B
Aug 2025
$10.5m
SERIES A
Total funding: $49.9m
Company benefits
- Flexible working hours and locations - core hours of 11-3pm GMT
- Uncapped annual leave
- Share options
- Fitness allowance - £50/month to expense on any fitness activity
- Learning budget: £1000/year to spend on conferences, books, courses and subscriptions
- Visa Sponsorship and contribution towards relocation costs (role dependant)
- Health insurance - Private Medical Insurance with Vitality
- Generous family leave policies
Company values
- Aim high, run fast - Set challenges that will defy your skills, implement the most efficient solution
- Be radically truthful - Care deeply, challenge directly, and tell the truth no matter how hard
- Learn from everything - Always question your current knowledge, reflect on outcomes, and learn from these
Company HQ
Spitalfields, London, UK
Leadership
Dev Amratia
(CEO)Previously worked at Shell for 9 years before authoring the UK's National AI Strategy.
Alan Mosca
(CTO)Spent 7 years as a technologist in quantitative finance and is completing a PhD in deep learning.
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