Remote C# Engineer

Remote C# Engineer

Full-Time 60000 - 80000 £ / year (est.) No home office possible
SBS

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 competitive pay, health coverage, flexible work options, and career development.
  • 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 in 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.
  • Model Deployment & MLOps: 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.
  • Product Integration: 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.
  • Data Engineering Collaboration: Partner with data engineers to ensure data quality, availability, and pipeline integrity. Work with structured and unstructured datasets across large-scale, distributed systems.
  • Innovation & Continuous Improvement: 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: Strong grasp of clean/hexagonal architecture, dependency injection, SOLID principles, and protocol-based interfaces. Can design well-structured Python services with clear separation of concerns, testable components, and maintainable codebases.
  • API design: Experience designing and maintaining RESTful API contracts. Understands OpenAPI specifications, versioning strategies, schema evolution, and backward compatibility.
  • 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.
  • AI & LLM Application Skills: Hands-on experience building production applications powered by LLMs. Must go beyond API calls — RAG pipelines, chain-of-thought reasoning, structured output parsing, multi-step workflows.
  • Model-agnostic design: The candidate must design against standardized API interfaces (OpenAI-compatible, LiteLLM, or equivalent abstraction layers).
  • 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.
  • Python Engineering: Strong async Python with FastAPI or equivalent framework. Comfortable with Pydantic for data validation, SQLAlchemy for data access, and structured logging.
  • Engineering Qualities: The candidate joins a substantial existing codebase and architecture. They must be comfortable reading, understanding, and extending code they did not write.

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. 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 C# Engineer employer: SBS

SBS is an exceptional employer that prioritises employee wellbeing and professional growth, offering a flexible remote work environment across the UK and EU. With a strong focus on innovation in the fintech sector, employees benefit from competitive pay, comprehensive health coverage, and ample opportunities for career development within a collaborative and inclusive culture. Join us to be part of a forward-thinking team dedicated to shaping the future of finance while enjoying a supportive workplace that values your contributions.
SBS

Contact Detail:

SBS Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Remote C# Engineer

✨Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those involving AI/ML. This gives potential employers a taste of what you can do.

✨Tip Number 3

Prepare for interviews by practising common technical questions and coding challenges. We recommend using platforms like LeetCode or HackerRank to sharpen your skills.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!

We think you need these skills to ace Remote C# Engineer

C# Programming
Machine Learning (ML)
Natural Language Processing (NLP)
Generative AI (GenAI / LLMs)
MLOps
API Development
Microservices Architecture
Data Engineering
Distributed Systems Design
Prompt Engineering
Python Engineering
Async Programming
Clean Code Principles
Error Handling
Communication Skills

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the C# Engineer role. Highlight your experience with AI/ML, Python, and any relevant projects that showcase your skills. We want to see how you fit into our team!

Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! Include specific examples of your work with AI models, API design, and system architecture. We love seeing real-world applications of your expertise.

Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point!

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!

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. 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, especially in integrating AI into their banking and payment systems. Tailor your answers to show how you can add value to their team.

✨Communicate Clearly

Practice explaining technical concepts in simple terms. You might need to communicate with non-technical stakeholders, so being able to articulate your ideas clearly is crucial. Prepare to discuss your design decisions and the trade-offs involved in your projects.

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