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- Tasks: Lead the development of an AI-driven fintech platform and build a world-class engineering team.
- Company: Innovative fintech startup transforming investment analysis with AI technology.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Shape the future of finance while working with cutting-edge AI and blockchain technologies.
- Qualifications: 5+ years in software engineering, with leadership experience and skills in JavaScript, Python, and AI frameworks.
- Other info: Join a dynamic team backed by experienced fintech leaders and investors.
The predicted salary is between 43200 - 72000 £ per year.
We’re hiring on behalf of an innovative Fintech startup that is building an AI-driven platform that’s rethinking how investors analyse, access, and manage alternative assets (e.g. private equity, private credit and other private markets). They’ve built their MVP, raised funding from experienced fintech founders and senior figures in financial services, and are now scaling a category-defining product at the intersection of AI, automation, and finance.
We’re looking for an exceptional Lead Engineer to help shape the technical foundation of the company, stay hands-on, and build a world-class engineering team from the ground up. You’ll design and build the core AI-powered platform, set technical standards, and work closely with product, data, and leadership to ship intelligent automation and decision-support tools for a legacy industry.
You’ll lead the architecture of an AI-driven investment intelligence platform while staying deeply hands-on across the entire stack, from frontend UX to backend services, AI integrations, and core infrastructure. Working closely with the CTO, data scientists, and product leadership, you’ll help shape both the technical direction and the product itself. Along the way, you’ll explore and integrate emerging AI frameworks, tools, and blockchain technologies to keep the platform at the cutting edge.
- 5+ years of professional software engineering experience
- 2+ years in a technical or team lead role
- JavaScript, React, and TypeScript
- Python for AI workflows and automation
- Experience with AI / LLM frameworks (e.g. GCP experience) and DevOps best practices (monitoring, observability, CI/CD)
- PostgreSQL and relational data modelling
- Experience building and running production SaaS platforms
- TDD, Agile, and DevOps environments
- Blockchain / Web3 integrations or tokenisation frameworks
- Fintech, asset management, or due-diligence automation background
Build a category-defining AI product in fintech. Stay deeply hands-on while growing into a senior technical leader. Backed by serious operators and investors in fintech and financial services.
Senior Lead Software Engineer in England employer: Hyre Ai
Contact Detail:
Hyre Ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Lead Software Engineer in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech and AI space. Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI, automation, or fintech. This is your chance to demonstrate your hands-on experience and technical prowess, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice coding challenges and be ready to discuss your past experiences in detail. Remember, they want to see how you think and solve problems, so don’t hold back!
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals like you. By applying directly, you’ll ensure your application gets the attention it deserves, and you might just land that dream role with us!
We think you need these skills to ace Senior Lead Software Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with AI, fintech, and any relevant technologies like React, TypeScript, and Python. We want to see how you can contribute to our innovative platform!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're excited about this role and how your background aligns with our mission. Be genuine and let your passion for fintech and AI come through.
Showcase Your Projects: If you've worked on any relevant projects, especially those involving AI or fintech, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements!
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’re considered for this exciting opportunity. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Hyre Ai
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like JavaScript, React, TypeScript, and Python. Be ready to discuss your experience with AI frameworks and how you've applied them in real-world scenarios.
✨Showcase Your Leadership Skills
As a Senior Lead Software Engineer, you'll need to demonstrate your ability to lead a team. Prepare examples of how you've successfully managed projects or mentored junior engineers, and be ready to discuss your approach to building a world-class engineering team.
✨Understand the Fintech Landscape
Familiarise yourself with the current trends in fintech, especially around AI-driven platforms and alternative assets. Being able to discuss how these trends impact investment analysis and management will show your genuine interest in the industry.
✨Prepare for Technical Challenges
Expect to face technical questions or coding challenges during the interview. Brush up on your problem-solving skills and be prepared to demonstrate your thought process, especially in areas like TDD, Agile methodologies, and DevOps practices.
