Senior Full-Stack Engineer (Python + Next.js)

About Electric Twin

Electric Twin is building the future of strategic decision-making.

We use large language models (LLMs) to simulate human behaviour, creating science-based synthetic populations that mirror real markets and demographics.

Our platform gives leaders in business and government a new way to explore outcomes — from qualitative polling and quantitative analysis to simulated focus groups and one-to-one discussions. The result: faster insight, stronger evidence, and more confident decisions.

With a unique proposition in the rapidly developing generative AI sector, Electric Twin is poised for significant growth. We’re backed by world-class leadership, including:

• Alex Cooper (Co-founder) – Former COO at UNDO, Director of Mass Testing for the UK’s Department of Health, and Advisor for 10 Downing Street
• Ben Warner (Co-founder) – Former Chief Advisor on Digital and Data to the UK Prime Minister, Data Scientist at Faculty, and EPSRC Research Fellow at UCL

We’re now looking for a Senior Full-Stack Engineer to help us build the next generation of applied AI tools.

What You’Ll Do

• Build and ship production features end-to-end across Python, SQL, and Next.js.
• Design APIs, data pipelines, and UIs that make complex model outputs intuitive and actionable.
• Own architecture and design decisions — schemas, modularisation, and system patterns.
• Refactor and optimise existing systems for performance and maintainability.
• Improve quality and speed through testing and CI/CD.
• Work side-by-side with founders and senior engineers — we collaborate on-site four days a week.

Requirements

What We’Re Looking For

• 5+ years’ experience building production software (exceptional 4+ considered).
• Strong proficiency in Python and SQL for scalable back-end systems.
• Skilled with TypeScript, React, and Next.js for high-quality front-end work.
• Solid testing habits and CI/CD experience.
• Product-focused mindset and attention to code quality.
• Comfortable working on-site in a fast-paced, collaborative startup.

Nice To Have

• Experience with data-heavy or high-throughput systems.
• Exposure to applied AI or LLM integrations (no model training required).
• Familiarity with GCP, especially IAM, networking, and security.

Why Electric Twin

• Impact – Shape both the product and how we build it.
• Pace – We ship weekly; your work goes live fast.
• Team – Small, sharp, and experienced.
• Learning – Work hands-on with cutting-edge AI applications that matter.