Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop AI models for a revolutionary conversational sales agent.
- Company: Stealth-mode e-commerce AI start-up with an innovative vision.
- Benefits: £120,000 salary, 1.25% equity, and fully remote work.
- Other info: Ground-floor opportunity with significant impact on product strategy.
- Why this job: Join a founding team and shape the future of AI in commerce.
- Qualifications: Strong AI/ML expertise and experience in building scalable systems.
The predicted salary is between 120000 - 120000 £ per year.
A stealth-mode e-commerce AI start-up is building a conversational AI sales agent that acts like a knowledgeable in-store salesperson online. Unlike static browsing or basic recommendation systems, this AI engages in real conversations, understands product attributes, compatibility, visual features, and domain expertise, and provides genuinely expert guidance. Every interaction generates high-intent data on customer needs, objections, and unmet demand. This intelligence powers segmentation, product development, and personalisation — far beyond traditional analytics. Long-term, the company is building the cognitive core for future robotic sales agents: the mind that makes expert guidance possible.
The founding team brings deep experience: one founder is a 3x founder, investor, and executive with 14+ years building software, consumer, and supply chain start-ups, and the other is an ex-FAANG engineer with deep technical expertise.
As the Founding Engineer – AI/ML, you will be at the forefront of developing the intelligence that powers the AI agent. You will design, build, and scale the AI models, data pipelines, and cognitive systems that drive conversational recommendations and insights. This is a unique opportunity to shape the core AI and influence the company's product strategy from day one.
Responsibilities:- Design, develop, and optimise AI/ML models for conversational understanding, product recommendation, and decision-making.
- Build pipelines and systems to capture and leverage high-intent customer interaction data.
- Collaborate closely with founders to define technical roadmap and product strategy.
- Contribute to designing the memory, reasoning, and cognitive architecture for expert-level AI guidance.
- Implement scalable solutions that can operate in real-world commerce settings.
- Strong expertise in AI/ML, NLP, and recommendation systems.
- Proven experience building scalable AI systems end-to-end.
- Ability to work in an early-stage, high-autonomy environment.
- Interest in product intelligence, customer experience, and cognitive AI systems.
- Excellent problem-solving skills, growth mindset, and passion for building cutting-edge AI.
- Competitive salary: £120,000 + 1.25% equity
- Fully remote within the UK
- Ground-floor opportunity in a stealth start-up
- Significant impact on AI architecture, product strategy, and company direction
AWS/Typescript Engineer employer: Explore Group
Contact Detail:
Explore Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS/Typescript Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI/ML space, especially those who might be connected to stealth start-ups. Use platforms like LinkedIn to engage with industry professionals and showcase your skills.
✨Tip Number 2
Show off your projects! If you've built any AI models or worked on relevant tech, make sure to have them ready to share. A portfolio can really set you apart and give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your AI/ML knowledge. Be ready to discuss your thought process and problem-solving approach. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals like you. Don’t hesitate to submit your application directly, as it shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace AWS/Typescript Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Founding Engineer – AI/ML. Highlight your experience with AI/ML, NLP, and recommendation systems. We want to see how your skills align with our mission to build a conversational AI sales agent.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to our stealth start-up. Let us know why you're excited about shaping the future of e-commerce with us.
Showcase Your Projects: If you've worked on relevant projects, make sure to showcase them in your application. Whether it's building scalable AI systems or developing data pipelines, we want to see your hands-on experience and creativity!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us. We can't wait to hear from you!
How to prepare for a job interview at Explore Group
✨Know Your AI/ML Stuff
Make sure you brush up on your AI and ML knowledge before the interview. Be ready to discuss your experience with building scalable AI systems and any specific projects you've worked on that relate to conversational understanding or recommendation systems.
✨Show Off Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex problems in previous roles. This stealth start-up is looking for someone with a growth mindset, so highlight instances where you've learned from challenges and adapted your approach.
✨Understand the Company Vision
Dive deep into the company's mission and product strategy. Familiarise yourself with their approach to AI and how it differs from traditional analytics. Being able to articulate how you can contribute to their vision will set you apart.
✨Be Ready for Technical Questions
Expect some technical questions related to AI models, data pipelines, and cognitive architecture. Brush up on relevant technologies and be prepared to discuss your thought process when designing and optimising these systems.