Senior Software Engineer, Electric Twin

£90-125k

+ Equity options

TypeScript

Python

Rust

Senior and Expert level

London

3-5 days a week in office (116 Baker Street, London)

Building synthetic audiences that accurately model how humans think and behave

Job no longer available

Building synthetic audiences that accurately model how humans think and behave

21-100 employees

Artificial IntelligenceMarket researchMachine Learning

Job no longer available

£90-125k

+ Equity options

TypeScript

Python

Rust

Senior and Expert level

London

3-5 days a week in office (116 Baker Street, London)

21-100 employees

Artificial IntelligenceMarket researchMachine Learning

Company mission

To improve our understanding of the world.

Job

Company

Role

Who you are

An experienced software engineer looking to help us predict human behaviour.
4+ years of experience: you should be able to lead the technical development of a full product.
A very high standard of proficiency in modern back-end languages (such as Rust, Python, Go).
Cloud Infrastructure: You have worked with cloud providers and deployment management technologies.
Product-minded outlook: You can build for customers and iterate on their feedback.
Startup mindset: You value the importance of moving quickly, getting things done and picking up tasks which are not on your to-do list.

Desirable

Front-end: You should be excited about working on all aspects of the app, including front-end so knowledge of Typescript is desirable
You are interested in LLMs, and fascinated about how they can be used to model human behaviour
You appreciate fantastic product design and you get an itch if something is wrong with a product!
You have the natural tendency to introduce new technologies and tools to other people

What the job involves

Being part of the founding engineering team at a seed-stage startup means building the Electric Twin infra and app from the ground up, this comes with extra ownership.
Contribute to seed-stage decisions such as architecture, frameworks, business strategy and software standards.
Iterate on customer feedback to improve the app.
Work collaboratively with other members of the technical team, including data scientists and ML engineers, developing the science of human behaviour to build new features into the app.
Active participant in developing a world-class software culture

Application process

1. Apply via Otta
2. Informal interview (30 mins) - short interview to understand your experience and ensure it meets our needs
3. Take-home assessment (2-3 hours) and interview (45 mins).
4. Co-working interview (1 hour) - Testing how you work with other team members on a real-life problem.
5. Founder interview (30 mins) - Checking that you fit our values and approach.
Offer and referencing - We will reference all successful candidates post offer.

Salary benchmarks

Our take

Electric Twin is a company utilising large language models to simulate human behaviour. Through its LLM models, users can create synthetic populations that represent their target markets or research demographics in order to investigate outcomes in near real-time and make more informed decisions.

The company supplies a range of investigative tools; from qualitative polling and quantitative analysis, to simulated focus groups or even one-on-one discussions. It also enables ideas to be continuously refined through strong feedback, ensuring that strategy can always be backed by the latest data.

With such a unique proposition, Electric Twin stands out as one to watch in the rapidly developing generative AI sector. It is currently working to build out its team and, if its models are able to deliver the value suggested, there will surely be no shortage of success in its future.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (1 round)

Feb 2026

$14m

Seed

Total funding: $14m

Company HQ

Soho, London, UK

Leadership

Alex Cooper

(Co-Founder)

Former COO at UNDO, Director of Mass Testing for the Department of Health and Social Care, and Advisor for 10 Downing Street. Was also an Officer in the British Army for 19 years.

Ben Warner

(Co-Founder)

Former Chief advisor on Digital and Data to the Prime Minster with the UK Civil Service. Worked in Data Science at Faculty and was an EPSRC Research Fellow at UCL.

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