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- Tasks: Research and build AI systems that simulate human behaviour with high accuracy.
- Company: Exciting AI startup backed by $14M investment from top VCs.
- Benefits: Competitive salary, innovative projects, and a chance to work with industry leaders.
- Other info: Unique leadership and excellent career growth opportunities in a dynamic environment.
- Why this job: Join a pioneering team creating technology that delivers insights 10,000x faster than traditional methods.
- Qualifications: Strong background in human behaviour research 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 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
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those connected to the startup scene. Use platforms like LinkedIn to connect with current employees or alumni from your university who might have insights or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to cognitive architectures or LLM applications. This can be a game-changer during interviews, as it gives you a chance to demonstrate your hands-on experience and problem-solving abilities.
✨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, especially how they relate to human behaviour and AI simulations.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to engage directly with us.
We think you need these skills to ace AI Engineer at $14M Atomico-backed AI startup modeling human behavior
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with cognitive architectures and backend engineering. We want to see how your skills align with our mission of simulating human behaviour accurately.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the AI Engineer role. Mention your experience with LLM techniques and any relevant projects you've worked on.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Jack & Jill
✨Know Your Stuff
Make sure you brush up on the latest advancements in AI and cognitive architectures. Familiarise yourself with LLM techniques like RAG and chain-of-thought prompting, as well as backend engineering practices using Python and FastAPI. This will show that you're not just a candidate, but someone who’s genuinely passionate about the field.
✨Showcase Your Experience
Prepare to discuss your past projects in detail, especially those involving human behaviour modelling or multi-agent systems. Be ready to explain how you approached challenges and what outcomes you achieved. This is your chance to demonstrate your ownership mentality and technical proficiency.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s technology, their research collaborations (like with the London School of Economics), and how they envision the future of AI in their projects. This shows your interest and helps you gauge if the company aligns with your career goals.
✨Practice Problem-Solving
Expect some technical questions or case studies during the interview. Practise solving problems related to cognitive systems and agent-based simulations. Being able to think on your feet and articulate your thought process will impress the interviewers and highlight your analytical skills.