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Roles
Compensation
Full-time; Hybrid (4 days/week in office). Benefits include pension matching (4–8%), £1,000 annual L&D budget, Cycle to Work, and the kit you need.
Benefits
- Pension matching (4–8%)
- £1,000 annual L&D budget
- Cycle to Work
- The kit you need
Tech stack
Required
Location
London, UK
Work setup
- Employment
- full-time
- Level
- Senior
- Remote policy
- Hybrid (4 days/week in office)
- Remote scope
- hybrid
- Authorization
- We may use AI tools to support parts of the hiring process, such as reviewing applications, analysing resumes, or assessing responses. These tools assist our team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
Role details
Responsibilities
- Design cognitive and LLM-based architectures
- Evaluate agent behaviour in ambiguous scenarios
- Build experimental methods to validate simulations
- Own problems end-to-end where behaviour, prediction, and UX meet
Requirements
- MS/PhD or equivalent practical experience
- Strong Python
- Strong ML frameworks
- Rigorous scientific mindset
- React, Next.js, Python, FastAPI, SQL, GCP
- Your choice of Claude, Cursor, or Codex
Application
Apply via Lever: https://jobs.lever.co/electric-twin
- Portfolio
- not required
- GitHub
- not required
- Cover letter
- not required
- Apply flow
- ats
- Canonical URL
- https://jobs.lever.co/electric-twin
Company context
Build science-based synthetic populations — LLM-driven AI agents that simulate human behaviour, so companies and governments can test ideas and explore uncertainty before they commit.
- Product
- science-based synthetic populations; LLM-driven AI agents that simulate human behaviour
- Size
- Small, senior team
- Stage
- major growth phase (new funding, growing customer base; platform still taking shape)
- Funding
- new funding
Contact
yoanna.peneva@electrictwin.com, harry.smith@electrictwin.com
yoanna.peneva@electrictwin.com, harry.smith@electrictwin.com
Description
Electric Twin builds science-based synthetic populations — LLM-driven AI agents that simulate human behaviour, so companies and governments can test ideas and explore uncertainty before they commit. We've just entered a major growth phase: new funding, a growing customer base, and a platform still taking shape. We’re hiring across engineering and science: Research Engineer (Science Team) — Pioneer the application of LLMs to model human behaviour: design cognitive and LLM-based architectures, figure out how to evaluate agent behaviour in ambiguous scenarios, and build experimental methods to validate simulations. MS/PhD or equivalent practical experience; strong Python and ML frameworks; rigorous scientific mindset. Product Engineer (Engineering Team) — Own problems end-to-end where behaviour, prediction, and UX meet. React, Next.js, Python, FastAPI, SQL, GCP. Your choice of Claude, Cursor, or Codex. Multiple roles across all levels. Small, senior team. Benefits include pension matching (4–8%), £1,000 annual L&D budget, Cycle to Work, and the kit you need. Apply: https://jobs.lever.co/electric-twin
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