At a Glance
- Tasks: Design and build AI-powered products that transform finance processes.
- Company: Join Moss, a leading Finance AI platform recognised for innovation.
- Benefits: Top compensation, equity, learning budget, and flexible work options.
- Other info: Dynamic culture with 300+ diverse team members across Europe.
- Why this job: Make a real impact in finance with cutting-edge AI technology.
- Qualifications: 4+ years in engineering, strong Python and Java skills, AI experience.
The predicted salary is between 80100 - 97900 £ per year.
At Moss, we give finance professionals the power to automate their day-to-day and make forward-thinking decisions. Our team and culture make us unique — we're driven by impact and growth, where every one of us strives to learn and excel. We are hiring an Applied AI Engineer to design, build, and deploy AI-powered products that transform how finance teams work. You will work with frontier language models to create intelligent services, agents, and workflows that deliver real customer value.
Your Responsibilities
- Build AI-Powered Products
- Design, develop, and deploy AI-enabled applications and services using state-of-the-art language models.
- Build intelligent agents and workflows that automate complex finance processes.
- Experiment with new AI capabilities and rapidly turn prototypes into production-ready features.
- Evaluate and Improve AI Systems
- Develop robust evaluation frameworks to measure quality, reliability, and business impact.
- Improve model performance through prompt engineering, retrieval-augmented generation (RAG), and other applied AI techniques.
- Ensure AI systems are accurate, trustworthy, and deliver a high-quality user experience.
- Design for Trust and Control
- Build AI systems that are transparent, auditable, and allow users to review and intervene when needed.
- Incorporate customer data into AI workflows while maintaining security and privacy standards.
- Collaborate Across Functions
- Partner closely with product managers, designers, engineers, and finance experts to deliver customer-facing AI solutions.
- Help shape Moss's AI product strategy and engineering best practices.
About You
- Degree in Computer Science, Mathematics, Engineering, or a related field.
- Minimum 4 years of professional engineering experience building and shipping production applications.
- Proven experience working with modern LLMs and AI application development.
- Strong programming skills in both Python and Java.
- Experience building backend services and APIs.
- Hands-on experience with AI agents, RAG systems, prompt engineering, or related applied AI techniques.
- Ability to balance rapid experimentation with production-quality engineering.
- Excellent problem-solving and communication skills.
Relevant Technologies
- AI & Machine Learning
- Frontier LLMs: OpenAI, Anthropic, Gemini, Llama, Mistral, or similar.
- Agent and orchestration frameworks: LangChain, LlamaIndex, Haystack, or similar.
- Retrieval-Augmented Generation (RAG).
- Prompt engineering and evaluation methodologies.
- Fine-tuning and model adaptation techniques.
- Software Engineering
- Python and Java.
- REST APIs and backend application development.
- SQL and modern data storage technologies.
- Distributed systems and scalable application design.
Nice to Have
- Experience building customer-facing AI products.
- Experience in fintech, finance, or enterprise software.
- Experience with cloud-based AI platforms such as Vertex AI, OpenAI, or Anthropic APIs.
About Moss
Moss is the Finance AI platform for Europe's mid-sized businesses, giving companies real-time visibility and full control over their spend. By automating card issuing, invoice management and expenses, Moss simplifies financial workflows and frees finance and accounting teams from manual, administrative work. Founded in Berlin and used by more than 5,000 businesses including Flink, Schufa, Gusto and Auto1, Moss has raised 200+ million to date and operates in Germany, the Netherlands, the UK and further EU markets. Moss is backed by the most renowned tech investors including Valar Ventures, Tiger Global, Global Founders Capital, Cherry Ventures, A-Star and Portage.
We have a team of 300+ people from 50+ nationalities in 5 offices across Europe. Be part of a culture that thrives on impact and speed, where you can take bold moves, learn fast and accomplish more. We're a place where you can fast track your career - here's what else to expect: Top-of-market compensation package, including equity. Our vibrant offices are at the heart of our culture, where in-person time fuels collaboration and connection over weekly breakfasts and Friday demos.
Additional benefits include: 20 days "work from abroad", 600EUR/GBP Learning & Development Budget, and other local benefits. Unless stated otherwise, benefits apply to full-time positions (interns and working students receive a tailored package).
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Location Berlin; London; Warsaw
Employment Type Full time
Location Type Hybrid
Department EPD
Applied AI Engineer in London employer: Nufin
Moss is an exceptional employer, offering a dynamic work culture that prioritises impact and growth, making it an ideal environment for an Applied AI Engineer. With top-of-market compensation, a strong focus on employee development, and the opportunity to collaborate with diverse teams across Europe, Moss empowers its employees to innovate and excel in their careers while enjoying unique benefits like flexible working arrangements and a generous learning budget. Join us in Berlin, where you can be part of a vibrant team dedicated to transforming finance through cutting-edge AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Nufin or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Nufin.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Nufin.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Nufin that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Applied AI Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Nufin.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Nufin and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Nufin
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Nufin uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
