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- Tasks: Architect and build scalable AI-powered applications while leading a talented team.
- Company: Join a fast-growing fintech revolutionising payments with intelligent software.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by developing cutting-edge AI systems that automate financial workflows.
- Qualifications: Proven full-stack experience and strong skills in C#, .NET, and AI technologies.
- Other info: Enjoy a dynamic environment with the freedom to innovate and influence technical direction.
The predicted salary is between 36000 - 60000 £ per year.
We’re partnering with a fast-growing fintech and payments business that’s building intelligent, AI-powered software used by thousands of businesses across the UK. They’re now looking for a Senior Software Engineer to join their AI team, focused on developing production-grade AI systems that automate complex financial and accounting workflows — not just chatbots.
You’ll work in a small, autonomous squad with full ownership across the stack, from scalable back-end services to intuitive front-end interfaces, collaborating closely with the AI platform team to bring LLM-powered features into core products.
What you’ll be doing:
- Architect and build scalable, secure AI-powered applications
- Design performant back-end services in C# / .NET, integrating with AI systems
- Develop user-friendly front-end interfaces using Blazor or React/Vue/Angular
- Lead technical direction, mentor engineers, and promote best practices
- Collaborate with AI teams to design and deliver real production features
What you’ll need:
- Proven full-stack experience delivering production web applications
- Hands-on experience with LLMs / GenAI / ML in production
- Strong background in C#, .NET, REST APIs, and cloud platforms (Azure, AWS, or GCP)
- Agile mindset with focus on testing, observability, and secure delivery
- Excellent communication and cross-functional collaboration skills
Nice to have:
- Experience with vector databases, RAG systems, or multi-agent AI
- Python skills for AI/ML development
- Familiarity with MLOps, Langfuse, or LiteLLM
- Background in fintech, SaaS, or payments software
Join a forward-thinking fintech where you’ll have the freedom to innovate, influence technical direction, and build AI systems that genuinely impact users.
Software Engineer employer: Explore Group
Contact Detail:
Explore Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and AI space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational chats. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving C#, .NET, or AI systems. Having tangible examples of your work can really set you apart when chatting with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding AI concepts. Practice common algorithms and system design questions. We recommend using platforms like LeetCode or HackerRank to get in the zone!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you into that dream role!
We think you need these skills to ace Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your full-stack experience, especially with C# and .NET, and don’t forget to mention any work with AI systems!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about AI and fintech. Share specific examples of projects where you’ve built scalable applications or led teams, and show us how you can contribute to our mission.
Showcase Your Projects: If you’ve worked on relevant projects, whether in a professional setting or as personal endeavours, include them! We love seeing real-world applications of your skills, especially if they involve LLMs or cloud platforms.
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 the role. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Explore Group
✨Know Your Tech Stack
Make sure you’re well-versed in C#, .NET, and the frameworks mentioned in the job description. Brush up on your knowledge of REST APIs and cloud platforms like Azure or AWS. Being able to discuss your hands-on experience with these technologies will show that you’re ready to hit the ground running.
✨Showcase Your AI Experience
Since this role focuses on AI-powered applications, be prepared to talk about your experience with LLMs, GenAI, or ML in production. Bring examples of projects where you’ve integrated AI systems into applications, and highlight any specific challenges you overcame.
✨Demonstrate Collaboration Skills
This position requires excellent communication and cross-functional collaboration. Think of examples from your past roles where you worked closely with other teams, especially in agile environments. Be ready to discuss how you’ve mentored others and promoted best practices within your team.
✨Prepare Questions About the Company
Research the fintech company and their products. Prepare thoughtful questions about their AI initiatives and how they envision the future of their software. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
