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- Tasks: Design and develop AI models for a revolutionary conversational sales agent.
- Company: Stealth-mode e-commerce AI start-up with a visionary founding team.
- Benefits: Competitive salary, equity, and fully remote work within the UK.
- Why this job: Shape the future of AI in commerce and make a real impact from day one.
- Qualifications: Strong expertise in AI/ML, NLP, and scalable systems.
- Other info: Ground-floor opportunity with high autonomy and significant career growth.
The predicted salary is between 72000 - 84000 £ 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 Engineer (Python) employer: Explore Group
Contact Detail:
Explore Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Engineer (Python)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at stealth start-ups or in AI/ML. A friendly chat can lead to insider info and even referrals that could land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially any that relate to conversational systems or recommendation engines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI/ML concepts. Practice common interview questions and scenarios related to building scalable systems, as this will help you shine during the interview process.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make an impact in the AI space. Your application could be the one that catches our eye!
We think you need these skills to ace AWS Engineer (Python)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of AWS Engineer (Python). Highlight your experience with AI/ML, NLP, and any relevant projects that showcase your skills. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our goals. Be genuine and let your personality come through – we love seeing the real you!
Showcase Your Projects: If you've worked on any cool projects related to AI or machine learning, make sure to mention them! Include links to your GitHub or portfolio so we can see your work in action. We’re all about innovation and creativity!
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. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Explore Group
✨Know Your AI/ML Stuff
Make sure you brush up on your AI and machine learning knowledge, especially around NLP and recommendation systems. Be ready to discuss your past projects and how they relate to the role, as this will show your expertise and passion for the field.
✨Understand the Company Vision
Dive deep into the company's mission of creating a conversational AI sales agent. Familiarise yourself with their approach to customer interaction and how it differs from traditional methods. This will help you align your answers with their goals during the interview.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and ability to build scalable AI systems. Practice coding challenges or system design scenarios relevant to AI/ML, as this will demonstrate your hands-on experience and readiness for the role.
✨Show Your Collaborative Spirit
Since you'll be working closely with the founders, highlight your ability to collaborate in a high-autonomy environment. Share examples of how you've successfully worked in teams to define product strategies or technical roadmaps, showcasing your teamwork and communication skills.