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For Companies At a Glance
- Tasks: Design, build, and deploy AI-powered products for high-profile clients in finance.
- Company: Join a rapidly scaling AI company backed by $16M funding, working with giants like Goldman Sachs.
- Benefits: Enjoy competitive equity, private healthcare, flexible holidays, and access to industry mentors.
- Why this job: Shape the future of AI in finance while fast-tracking your career towards leadership roles.
- Qualifications: 4+ years in full-stack development with Python and React; experience with LLMs or generative AI required.
- Other info: This hybrid role is perfect for tech enthusiasts eager to make a real impact.
The predicted salary is between 43200 - 72000 £ per year.
Location: London (Hybrid)
The Company
Our client is a rapidly scaling AI company, with $16M in early funding and a client list that includes industry giants like Goldman Sachs. They are redefining what’s possible in data-driven decision-making. Now building out teams in London and New York, they are looking for a Product Engineer ready to help push the boundaries of intelligent automation.
The Opportunity
This role blends engineering, product strategy, and customer success into one. You’ll act as the technical lead for a high-priority client - designing, building, and deploying AI-powered products that directly impact their business outcomes. You won’t just build software. You’ll shape the direction of the product, working closely with stakeholders, iterating fast, and solving meaningful problems with the latest AI technology. Ideal for someone looking to grow into a CTO or VP of Engineering role, this is an opportunity to gain real ownership, fast.
What You’ll Be Doing:
- Build and deliver scalable, production-grade AI systems tailored to a high-profile customer.
- Collaborate closely with client teams to deeply understand their challenges and translate these into impactful solutions.
- Own the full lifecycle from prototyping to deployment and iteration.
- Work across engineering, product, and strategy - acting as a trusted technical partner.
- Operate autonomously, with the support of a wider AI and product team behind you.
What Success Looks Like in This Role
Within the first 30 days, you’ve fully onboarded and established a strong understanding of the customer’s priorities, the product landscape, and internal tools. By day 60, you’re leading delivery on a critical work stream and translating customer pain points into AI-driven features or solutions.
What We’re Looking For:
- 4+ years of experience in full-stack development, with strong Python and React skills.
- Hands-on experience building or deploying solutions using LLMs or generative AI technologies.
- A Computer Science degree or equivalent experience from a top-tier institution or program.
- Entrepreneurial drive and a genuine passion for using technology to solve hard problems.
- Experience in high-growth, fast-moving technology environments.
- A strong communicator with both technical and non-technical stakeholders.
Why This Role Stands Out?
- Build end-to-end AI products that have real, visible impact on global financial organisations.
- Be on a fast track to engineering leadership - this role is designed for future CTOs and VPs.
- Work in a team that values autonomy, innovation, and direct ownership.
- Be part of one of the most exciting AI companies operating in finance today.
Compensation & Benefits: Competitive equity offering, private healthcare, pension scheme, and flexible holiday policy and access to a network of mentors, executives, and AI specialists.
Please note: Due to the volume of applications, if you have not been contacted within 7 days of applying, please assume your application has been unsuccessful at this time.
Contact Detail:
CD Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and financial services. Understanding how AI is transforming the finance sector will help you speak confidently about your ideas and demonstrate your passion for the industry during interviews.
✨Tip Number 2
Network with professionals in the AI and finance sectors. Attend relevant meetups, webinars, or conferences to connect with potential colleagues or mentors who can provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented AI solutions. Be ready to explain your thought process, the challenges you faced, and how you collaborated with stakeholders to achieve results.
✨Tip Number 4
Showcase your entrepreneurial spirit by sharing examples of how you've taken initiative in previous roles. Highlight any experiences where you've driven innovation or improved processes, as this aligns well with the company's values.
We think you need these skills to ace Product Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in full-stack development, particularly with Python and React. Emphasise any hands-on experience with LLMs or generative AI technologies, as this is crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for using technology to solve complex problems. Mention specific examples of how you've contributed to projects in high-growth environments and how you can bring that entrepreneurial drive to the company.
Showcase Relevant Projects: If you have worked on AI-powered products or similar projects, include them in your application. Describe your role, the challenges faced, and the impact of your work on the project outcomes to demonstrate your capability.
Prepare for Technical Questions: Anticipate technical questions related to full-stack development and AI technologies during the interview process. Brush up on your knowledge of Python, React, and any relevant frameworks or tools to ensure you're well-prepared.
How to prepare for a job interview at CD Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with full-stack development, particularly in Python and React. Bring examples of projects where you've built or deployed AI solutions, especially using LLMs or generative AI technologies.
✨Understand the Company and Its Clients
Research the company and its high-profile clients like Goldman Sachs. Understand their challenges and how your role as a Product Engineer can help address these issues through innovative AI solutions.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss specific instances where you've solved complex problems using technology. Highlight your entrepreneurial drive and passion for leveraging tech to create impactful solutions.
✨Communicate Effectively with Stakeholders
Practice explaining technical concepts in a way that non-technical stakeholders can understand. This role requires strong communication skills, so be ready to demonstrate how you can bridge the gap between technical and non-technical teams.
