At a Glance
- Tasks: Design and deploy AI-driven solutions that enhance financial services.
- Company: Join a global fintech leader transforming the finance industry.
- Benefits: Enjoy health coverage, flexible work options, and career development opportunities.
- Other info: Be part of a diverse team shaping the future of finance.
- Why this job: Make a real impact with cutting-edge AI technology in a collaborative environment.
- Qualifications: Strong software engineering skills and experience with AI/ML applications.
The predicted salary is between 60000 - 80000 £ per year.
SBS is seeking a skilled AI Engineer to join its Data & AI / Engineering organization in the UK or EU. This role will focus on designing, building, and deploying AI-driven solutions that enhance SBS products and client offerings. The ideal candidate will combine strong software engineering fundamentals with applied AI/ML expertise, enabling the development of scalable, production-grade AI systems in a regulated financial services environment.
Location: UK or EU
Hybrid/Remote: Remote (Occasional travel required)
Responsibilities:
- AI Solution Development
- Design, build, and deploy AI/ML models and intelligent applications across SBS platforms
- Develop solutions leveraging Machine Learning (ML), Natural Language Processing (NLP), and Generative AI (GenAI / LLMs)
- Translate business requirements into technical AI solutions that deliver measurable impact
- Implement and manage end-to-end ML pipelines, from data ingestion to model deployment and monitoring
- Collaborate with DevOps and engineering teams to ensure scalable, reliable production deployment
- Maintain and optimize model performance, accuracy, and efficiency over time
- Integrate AI capabilities into core banking, payments, and digital platforms
- Work closely with Product Managers, Architects, and Developers to embed AI into customer-facing solutions
- Support API development and microservices architecture for AI-driven features
- Partner with data engineers to ensure data quality, availability, and pipeline integrity
- Work with structured and unstructured datasets across large-scale, distributed systems
- Stay current with advancements in AI, GenAI, and emerging technologies
- Contribute to experimentation, prototyping, and innovation initiatives
- Identify opportunities to improve automation, efficiency, and decision-making through AI
Qualifications:
- Software Architecture & Design
- Application architecture: Strong grasp of clean/hexagonal architecture, dependency injection, SOLID principles, and protocol-based interfaces.
- API design: Experience designing and maintaining RESTful API contracts.
- System design: Distributed systems thinking — understands event-driven patterns, asynchronous communication, eventual consistency, and the trade-offs of different integration approaches.
- Data modeling: Can design domain models, define data flows between system components, and make pragmatic schema design decisions.
- LLM application development: Hands-on experience building production applications powered by LLMs.
- Model-agnostic design: This is a sovereign AI system.
- Agentic system design: Demonstrated experience designing multi-step AI systems where the model makes decisions about what to do next.
- Prompt engineering depth: Can demonstrate iterative prompt development for complex tasks.
- Production Python: Strong async Python with FastAPI or equivalent framework.
- Works within existing systems: The candidate joins a substantial existing codebase and architecture.
- Production mindset: Thinks about error handling, retry logic, graceful degradation, observability, and security as first-class concerns.
- Clear communicator: Can explain technical trade-offs to non-technical stakeholders.
Company Overview:
At SBS, we’re more than just a technology company; we’re a global fintech partner helping banks and financial institutions transform, innovate, and grow. With over 5,000 employees worldwide and clients in more than 80 countries, our solutions power everything from digital banking and lending to payments and core banking systems.
Why SBS?
At SBS, we’re committed to supporting our employees in every aspect of their lives, from health and wellbeing to financial security and lifestyle perks. We offer benefits that help you thrive at work and beyond, including health coverage, retirement plans, paid time off, flexible work options, career development, competitive pay, and global culture perks.
Equal Opportunity Employer: We are committed to providing equal opportunities and ensuring a fair and inclusive recruitment process. We do not discriminate on the basis of age, disability, gender, sexual orientation, race, religion, or any other protected characteristic.
Remote engineer employer: SBS
Contact Detail:
SBS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend virtual meetups, and engage with professionals on platforms like LinkedIn. 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, GitHub contributions, or any relevant work. This gives potential employers a tangible look at what you can do, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI engineering. Mock interviews with friends or using online platforms can help you feel more confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Remote engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your experience with AI/ML, Python, and any relevant projects that showcase your skills. We want to see how you can bring value to our team!
Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! Include specific examples of AI solutions you've developed or contributed to. This is your chance to shine, so let us know how you’ve tackled challenges in your previous roles.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. We appreciate a well-structured application that gets straight to the point—this shows us you can communicate effectively!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy—just follow the prompts!
How to prepare for a job interview at SBS
✨Know Your AI Stuff
Make sure you brush up on your AI and ML knowledge before the interview. Be ready to discuss your experience with LLMs, model deployment, and how you've tackled real-world problems using AI. They’ll want to see that you can translate complex concepts into practical solutions.
✨Showcase Your Python Skills
Since this role requires strong Python engineering skills, be prepared to talk about your experience with async Python, FastAPI, and data validation tools like Pydantic. Bring examples of clean, testable code you've written and be ready to explain your thought process behind it.
✨Understand the Company’s Needs
Research SBS and understand their products and services. Think about how your skills can directly contribute to their goals in the fintech space. Being able to articulate how you can add value will set you apart from other candidates.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You might need to discuss your ideas with non-technical stakeholders, so being able to communicate effectively is key. Prepare to share design documents or examples of how you've communicated complex ideas in the past.