Electric Twin builds science-based synthetic populations and the tools to interact with them, enabling leading companies and governments to make better decisions. Their 'Powers' offer new…
Electric Twin builds science-based synthetic populations and the tools to interact with them, enabling leading companies and governments to make better decisions. Their 'Powers' offer new…
Recorded as a pre-seed round on Apr 22, 2024 (amount not stated in evidence).
- 2026-02-11
$14M
Company announcement dated Feb 11, 2026 states $14M total, described as $10M follow-on plus prior $4M pre-seed.
Founders
What we do
Join the Team
AI Engineer
On-SiteLondon, GB
On-Site • London, GB
Who you are
Startup jobs. A lot of them.
Your next opportunity is in here somewhere. Sign up to explore 52,000+ startups and their open roles. No spam. No gamification. Just jobs.
52,000+
Startups
65,000+
Open Roles
1,500+
New This Week
Machine Learning Engineer
ContractAmsterdam, NL
Contract • Amsterdam, NL
Product Designer
ContractMunich, DE
Contract • Munich, DE
AI Researcher
InternshipManchester, GB
Internship • Manchester, GB
Technical Writer
Part-timeManchester, GB
Part-time • Manchester, GB
AI Researcher
Part-timeRotterdam, NL
Part-time • Rotterdam, NL
Backend Developer
Part-timeCambridge, GB
Part-time • Cambridge, GB
Related Companies
Company
HQ
Industry
Total Funding
Ema
🇺🇸San Francisco, US
Administrative ServicesData and AnalyticsDeepTechHealthHR and RecruitingInformation TechnologyProfessional ServicesSoftware
$61M
PhysicsX
🇬🇧GB
Data and AnalyticsDeepTechInformation TechnologySoftware
$187M
Wordsmith AI
🇪🇸Barcelona, ES
Data and AnalyticsDeepTechInformation TechnologyLegalProfessional ServicesSoftware
$30M
Sereact
🇩🇪Stuttgart, DE
Data and AnalyticsDeepTechHardwareInformation TechnologySoftware
$31M
Luffy AI
🇬🇧Abingdon, GB
Data and AnalyticsDeepTechInformation TechnologySoftware
-
Bachelor's or Master's degree in CS, Math, Physics, AI, or related technical field
Strong foundation in both AI/ML concepts and backend engineering principles
Experience working in fast-paced environments where requirements evolve rapidly
Over 7 years of experience with at least 1 year working hands-on with large language
Models to solve complex problems
Research:
Proof of fast iteration and experimentation in order to validate model performance and outputs
Exposure to research-driven product development or academic AI research is desirable
Knowledge of fine-tuning workflows, model optimisation, and experiment tracking
Understanding of statistical validation and data quality assessment
Experience with frameworks for building AI / LLM applications (e.g. PyTorch, Hugging Face Transformers, LangChain)
LLM & Agent Development:
Hands-on experience building applications with large language models, implementing advanced prompting techniques, RAG systems, and agentic workflows
Experience with multi-agent systems, simulation frameworks, or agent-based modelling
Backend Engineering:
Proficient in Python and backend frameworks (e.g. FastAPI, Django, Flask); understanding of distributed systems and scalable architectures
Strong ownership mentality—you see projects through from design to deployment
Pragmatic problem-solver who balances technical elegance with business needs
Clear communicator who can explain complex technical decisions to non-technical
Stakeholders
Thrives in ambiguity and adapts quickly as product requirements evolve
Passionate about building infrastructure that enables innovative AI applications
Intellectually honest—willing to question prevailing approaches and advocate for
Better solutions when evidence supports it
Collaborative mindset—debates ideas vigorously while respecting other perspectives
What the job involves
As an AI Engineer you will be part of the wider technical team but positioned within Science.You’ll research and build the systems that bring our AI agents to life and you will work with engineering to scale the infrastructure that powers our LLM-driven synthetic populations
You'll design agent cognitive architectures, implement context engineering and memory systems, while ensuring these AI systems can operate reliably at scale in production environments
This role balances AI agent research with backend engineering. It is ideal for research engineers who want to work directly with large language models to create realistic behavioural simulations, while building the robust infrastructure needed to deploy them in enterprise settings
There are three main areas that members of the science team focus on:
Research, Modelling and Experimentation: You will design and run systematic experiments to evaluate synthetic agent behaviour, test hypotheses about behavioural patterns, and iterate on model architectures based on empirical results and validation against real-world data
LLM Product Engineering: You will build sophisticated prompting strategies, behavioural frameworks, and decision-making systems that enable agents to exhibit realistic human-like behaviour across diverse scenarios and demographics. You will combine this with client interactions to ensure product viability for the end customer
Architecture & Development: Design and implement the cognitive systems that give AI agents consistent personalities, memory, and reasoning capabilities, using advanced LLM techniques like chain-of-thought prompting, RAG systems, and agentic tool use
Benefits
We have an excellent health insurance package for employees with BUPA.
All full time employees are enrolled onto our options scheme at the end of their probation period, which will be explained to new joiners in detail.
We offer Unlimited Time Off and believe it is important for you to take sufficient rest through the year.
Electric Twin has a generous pension scheme where we will match your individual contributions within a window of 4% - 8% under a net pay structure.
Cycle to Work Scheme.
We want to make sure we are providing you with what what you need to excel in your role. For IT we will provide a laptop and any accessories that you might want (e.g. monitor, keyboard etc).
In an effort to stay on top of current trends and developments, we offer £1,000 annual L&D budget for you to use as you see fit.