Software Engineer, Electric Twin
£70-120k
4-5 days a week in office
Simulating human behaviour with large language models
Posted today
Simulating human behaviour with large language models
1-20 employees
Posted today
£70-120k
4-5 days a week in office
1-20 employees
Company mission
To improve our understanding of the world.
Role
Who you are
- The engineering challenge is building systems reliable enough to power these high-stakes decisions. You'll work across data pipelines processing billions of tokens, real-time simulation platforms, and B2B SaaS products that make complex AI feel intuitive
- Strong software engineering fundamentals with experience in modern programming languages
- Proven track record of shipping production software and taking ownership of systems end-to-end
- Experience working collaboratively in cross-functional teams with diverse technical backgrounds
- Strong problem-solving skills with the ability to debug and optimize systems across different domains
- Excellent communication skills and genuine interest in understanding client and business needs
- Comfortable working in dynamic environments where business priorities drive technical decisions
- Willingness to work with our tech stack: Python (server-side), TypeScript/JavaScript (client-side), PostgreSQL, GitHub, and Google Cloud Platform
Desirable
- Experience with Python, TypeScript/JavaScript, PostgreSQL, or Google Cloud Platform
- Background in building scalable systems, APIs, and data-intensive applications
- Familiarity with AI/ML systems, large language models, or high-throughput data processing
- Experience with GitHub Actions, CI/CD pipelines, monitoring, and observability
- Interest in market research, behavioral science, or business applications of AI
What the job involves
- Build Production Systems: Develop and maintain our Python-based platform that powers synthetic population simulations, working with PostgreSQL databases and deploying on Google Cloud Platform
- Deliver Client Impact: Create TypeScript/JavaScript B2B SaaS products that solve real business problems for major brands, working directly with product and commercial teams
- Ensure System Reliability: Implement monitoring, testing, and GitHub Actions CI/CD pipelines to maintain high availability for systems that influence million-pound business decisions
- Collaborate Across Disciplines: Partner closely with our data science team to translate research innovations into robust, scalable production systems
- Drive Technical Excellence: Contribute to engineering standards and systematic approaches as we scale our platform and grow the team
- Solve Diverse Challenges: Work across different technical domains - from optimizing data processing pipelines to building intuitive B2B SaaS experiences to ensuring system performance under high load
Salary benchmarks
Our take
Electric Twin is a company utilizing 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
Company HQ
Marylebone, 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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