Applied AI Engineer in London

Applied AI Engineer in London

London Full-Time 80100 - 97900 £ / year (est.) Home office (partial)
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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.

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Contact Details:

Nufin Recruitment Team

We think you need these skills to ace Applied AI Engineer in London

AI Application Development
Programming in Python
Programming in Java
Backend Services Development
API Development
Experience with LLMs
Prompt Engineering