AI Engineer, Electric Twin
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
4-5 days a week in office
1-20 employees
Company mission
To improve our understanding of the world.
Role
Who you are
- You are a builder and innovator who is passionate about creating sophisticated AI systems that bring synthetic populations to life. You are someone who can translate complex behavioral requirements into robust technical architectures, building the systems that allow thousands of AI agents to interact, remember, and behave consistently. You have hands-on experience applying large language models to solve complex, open-ended problems. You excel at designing scalable agent architectures, implementing advanced LLM techniques, and building production-ready systems that can handle the computational demands of large-scale agent simulations.
- MS in Computer Science, Machine Learning, AI, or related field, or equivalent practical experience
- At least 2 years of industry experience in a commercial, non-research environment working with AI/ML systems
- Proven track record of building and deploying LLM-powered applications in production
- Deep experience applying large language models to complex, real-world problems
- Strong proficiency in Python and ML frameworks (PyTorch, JAX, TensorFlow, Hugging Face Transformers)
- Hands-on experience with advanced LLM techniques: RAG systems, chain-of-thought prompting, agentic tool use, and multi-agent coordination
- Experience with distributed systems, cloud platforms, and scalable ML infrastructure
- Knowledge of prompt engineering, LLM fine-tuning, and model optimization techniques
- Familiarity with vector databases, embedding systems, and retrieval architectures
- Experience with real-time systems and low-latency inference
- Knowledge of memory systems and persistent state management for AI agents
- Familiarity with simulation frameworks and agent-based modeling platforms
What the job involves
- Develop: Develop the core cognitive systems that give our AI agents persistent memory, consistent personalities, and sophisticated reasoning capabilities
- Platform: Create and maintain the scalable infrastructure that allows thousands of AI agents to interact, communicate, and evolve within complex simulations
- LLM Solutions: Design advanced prompting strategies, RAG systems, and tool-use frameworks that enable agents to access information and take actions in their environment
- Optimization: Ensure our agent systems can scale efficiently, optimizing for both computational performance and behavioral quality across large populations
- Integration & Deployment: Work with our platform teams to deploy agent systems into production environments, ensuring reliability and scalability
- Collaborative Development: Partner closely with Data Scientists to implement behavioral models and validation systems, translating research insights into robust technical solutions
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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