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- Tasks: Build AI-powered tools to enhance efficiency and automate workflows.
- Company: Join a $3.8B unicorn fintech revolutionising access to fair credit.
- Benefits: Competitive salary, equity options, and a dynamic work environment.
- Other info: Shape a new automation platform in a fast-growing, innovative team.
- Why this job: Make an immediate impact by shipping AI integrations that save time.
- Qualifications: 4+ years in software engineering with Python or TypeScript expertise.
The predicted salary is between 90000 - 110000 £ per year.
Company Description: $3.8B unicorn fintech helping millions access fairer credit through technology and market‑leading customer service.
Job Description: You will join a greenfield Internal Automation team of five, building AI‑powered tools that supercharge company‑wide efficiency. From designing RAG pipelines to creating automated workflows for Finance and Compliance, you will ship high‑impact integrations that solve real friction. This is an opportunity to shape the future of AI adoption within a premier London fintech.
Location: London, UK
Why this role is remarkable:
- Immediate Impact: Build and ship AI integrations on Monday and see them saving hours for your colleagues by Friday in a high‑autonomy environment.
- Greenfield Innovation: Shape a brand‑new automation platform from the ground up, utilizing the latest in agentic AI and LLM orchestration without the burden of legacy systems.
- Premier Backing: Join one of the UK’s fastest‑growing fintechs, valued at $3.8B, with a 160‑strong engineering culture that prizes shipping and learning over perfection.
What You Will Do:
- Build and maintain knowledge base pipelines, MCP integrations, and API connectors that make company data accessible to AI systems across Slack, Jira, and Snowflake.
- Develop internal automation platforms using AWS Bedrock, n8n, and custom Python/TypeScript solutions to remove friction from manual workflows.
- Enable non‑technical teams by building reusable templates, guardrails, and rapid app‑builder components that allow for safe AI experimentation across the business.
The ideal candidate:
- Strong Technical Foundation: 4+ years of software engineering experience with proficiency in Python or TypeScript and experience deploying containerized software to Kubernetes.
- AI Application Expertise: Proven experience building commercial AI tooling, including hands‑on work with LLMs, embeddings, vector databases, and modern AI application patterns.
- Impact‑Driven Owner: A self‑starter who takes full ownership from problem discovery to deployment and enjoys working directly with stakeholders to validate solutions.
AI Engineer (£90k-£110k + Equity) at $3.8B Unicorn Fintech in London employer: Jack & Jill
Contact Detail:
Jack & Jill Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (£90k-£110k + Equity) at $3.8B Unicorn Fintech in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working with AI. Use platforms like LinkedIn to connect and engage with them. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that demonstrate your ability to build integrations and automate workflows. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past experiences with AI tools and how you've tackled challenges. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your skills align with the role and the company’s mission to revolutionise credit access.
We think you need these skills to ace AI Engineer (£90k-£110k + Equity) at $3.8B Unicorn Fintech in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI Engineer role. Highlight your proficiency in Python or TypeScript, and any relevant projects you've worked on that showcase your AI application expertise.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this opportunity at our fintech. Share specific examples of how you've built AI tools or automated workflows in the past, and how you can bring that experience to our team.
Showcase Your Impact-Driven Mindset: In your application, emphasise your ownership mentality. We love self-starters who take initiative, so share stories of how you've driven projects from discovery to deployment and made a real impact in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the quickest way for us to see your application and get you into the process!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Inside Out
Make sure you brush up on your Python and TypeScript skills, as well as your experience with Kubernetes. Be ready to discuss specific projects where you've built AI tools or integrated systems, as this will show your technical prowess and relevance to the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Think about times when you identified friction points and implemented solutions that had a measurable impact. This will demonstrate your ownership mentality and ability to drive results.
✨Understand the Company’s Mission
Familiarise yourself with the fintech landscape and the company's mission to provide fairer credit through technology. Being able to articulate how your skills align with their goals will set you apart and show your genuine interest in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the greenfield project, and how success is measured in the role. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values.