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- Tasks: Design AI systems that simulate human behaviour with cutting-edge technology.
- Company: Exciting AI startup backed by $14M investment from top-tier VCs.
- Benefits: Work on groundbreaking projects with elite leadership and innovative culture.
- Other info: Dynamic environment with opportunities for impactful contributions and career growth.
- Why this job: Join a team creating world-first technology that transforms research methods.
- Qualifications: Strong background in human behaviour and backend engineering skills required.
The predicted salary is between 80000 - 120000 £ per year.
You will research and build cognitive architectures for AI agents that simulate human populations with 95% accuracy. Balancing LLM experimentation with backend engineering, you’ll develop memory and reasoning systems validated by London School of Economics research, enabling global brands to predict audience responses to messaging and products in seconds.
Why this role is remarkable
- Work on world-first technology validated by the London School of Economics that delivers human insights 10,000x faster than traditional research methods.
- Backed by a $14M investment from top-tier VCs like Atomico and LocalGlobe, alongside elite angels including Marc Andreessen and the CTO of Slack.
- Founded by a former Chief Adviser to the UK Prime Minister and a military commander, offering unique leadership at the intersection of data science and high-stakes decision making.
What You Will Do
- Design and implement cognitive systems for AI agents using advanced LLM techniques including RAG, chain-of-thought prompting, and agentic tool use.
- Run systematic experiments to validate synthetic agent behavior against real-world data, iterating on behavioral frameworks for diverse demographics.
- Build and scale the backend infrastructure using Python and FastAPI to deploy these realistic simulations in production for enterprise clients.
The ideal candidate
- Possesses a strong research background in human behavior, cognitive modeling, or agent-based social simulation paired with robust backend engineering skills.
- Has over 7 years of technical experience with at least 1 year of hands-on experience building production-grade LLM applications and multi-agent systems.
- Demonstrates an ownership mentality and technical proficiency in Python, PyTorch, and LangChain to move projects from hypothesis to deployment.
AI Engineer at $14M Atomico-backed AI startup modeling human behavior in London employer: Jack & Jill
Contact Detail:
Jack & Jill Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer at $14M Atomico-backed AI startup modeling human behavior in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those connected to startups. Use platforms like LinkedIn to connect with current employees at the company you're eyeing. A friendly chat can sometimes lead to a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to cognitive architectures or LLM applications. This gives you a chance to demonstrate your expertise and passion for the role, making you stand out from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and backend engineering skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team and being part of this exciting journey in AI.
We think you need these skills to ace AI Engineer at $14M Atomico-backed AI startup modeling human behavior in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and human behaviour. Share any relevant projects or experiences that highlight your interest in cognitive architectures and LLM techniques. We want to know what drives you!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to match the job description. Highlight your experience with backend engineering and cognitive modelling, and don’t forget to mention any specific tools like Python and PyTorch that you've used. This helps us see how you fit into our team!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team at this exciting startup!
How to prepare for a job interview at Jack & Jill
✨Know Your Stuff
Make sure you brush up on cognitive architectures and LLM techniques like RAG and chain-of-thought prompting. Being able to discuss these concepts confidently will show that you're not just familiar with the theory but can also apply it practically.
✨Showcase Your Experience
Prepare specific examples from your past work where you've built production-grade LLM applications or multi-agent systems. Highlight your role in these projects and the impact they had, especially if they relate to human behaviour or cognitive modelling.
✨Understand the Company’s Vision
Research the startup's mission and the technology they're developing. Knowing how their work with the London School of Economics ties into their goals will help you align your answers with their vision during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about their current projects or future directions. This shows your genuine interest in the role and helps you gauge if the company culture and objectives align with your career aspirations.