At a Glance
- Tasks: Design and build intelligent systems that revolutionise global payment services.
- Company: Join Sokin, a next-gen B2B financial services provider transforming how businesses move money.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on mentorship and knowledge sharing.
- Why this job: Be at the forefront of AI innovation in fintech and make a real impact.
- Qualifications: 3+ years in AI/ML engineering with hands-on experience in agentic systems.
The predicted salary is between 60000 - 80000 £ per year.
As an AI Engineer, you will be at the forefront of designing, building, and deploying intelligent systems that transform how Sokin delivers global payment services. You will architect end‑to‑end agentic workflows, leverage large language models for automation across the software development lifecycle, and apply AI to solve complex challenges in cross‑border payments, compliance, and treasury operations. This role sits within the AI team and requires deep hands‑on experience with agentic code generation tools such as Claude Code, advanced context management techniques including RAG and prompt orchestration, and a strong understanding of fintech domain requirements. You will work across the full stack, collaborating closely with engineering, product, and compliance teams to ship AI‑powered capabilities that are production‑grade, secure, and compliant.
About Us: Sokin is a next‑generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency. Our mission is simple: we’re simplifying global business – so businesses thrive wherever they choose to grow. We deliver services across:
- Global payments and receivables
- Foreign Exchange (FX)
- Treasury management
- Finance reconciliations
We are rapidly expanding, with an established presence in EMEA, APAC, and North America, backed by a strong global infrastructure and industry‑leading partners. We are redefining how businesses move money worldwide. Our clients span industries from sports and entertainment to logistics and travel, and our community is growing rapidly. As we continue to expand, we’re building a team of exceptional people who share our ambition to transform the future of global payments.
Key Responsibilities:
- Agentic AI Development: Design, build, and maintain end‑to‑end agentic workflows and AI‑powered automation systems using tools such as Claude Code, LangChain, CrewAI, or equivalent frameworks.
- Agentic Code Generation: Lead the adoption and optimisation of agentic code generation across the engineering organisation.
- Context Management and RAG: Architect and implement Retrieval‑Augmented Generation (RAG) pipelines and advanced context management strategies.
- Full SDLC AI Integration: Embed AI capabilities across the entire software development lifecycle.
- Fintech Domain Application: Apply AI to core fintech features driving new value creation for customers and optimisations.
- Production AI Systems: Own the deployment, monitoring, and continuous improvement of AI systems in production.
- Cross‑Functional Collaboration: Work closely with product managers, engineers, compliance, and operations teams.
- Knowledge Sharing and Mentorship: Establish best practices for AI engineering within the team.
Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or a related field (or equivalent professional experience).
Experience: 3+ years of professional or non‑commercial but provable experience in AI/ML engineering, with at least 1 year focused on agentic AI systems or LLM‑based application development.
Technical Skills: Expert proficiency in Python, Node.js; additional experience with Rust, Go is a strong plus. Deep working knowledge of LLM APIs and frameworks.
Candidate Expectations: We appreciate you may not tick all the boxes! Essentially, we are looking for motivated and driven candidates that can demonstrate their interest.
Portfolio and Demonstration: For candidates without commercial experience are expected to demonstrate their expertise through a portfolio or examples of agentic AI systems you have built.
Please note, candidates will need to have the right to work in the jurisdiction that they are looking to work in. Sokin is an equal opportunities employer and committed to maintaining an inclusive work environment.
AI Engineer Technology · Belgrade, London · Hybrid employer: Sokin
Contact Detail:
Sokin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer Technology · Belgrade, London · Hybrid
✨Tip Number 1
Get your portfolio ready! Showcase your best work, especially any agentic AI systems you've built. Include architecture diagrams and workflow descriptions to really impress.
✨Tip Number 2
Practice makes perfect! Prepare for interviews by simulating technical questions related to AI engineering. We can help you with mock interviews to boost your confidence.
✨Tip Number 3
Network like a pro! Connect with professionals in the fintech and AI space on platforms like LinkedIn. Engaging with our community can open doors to opportunities.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining Sokin.
We think you need these skills to ace AI Engineer Technology · Belgrade, London · Hybrid
Some tips for your application 🫡
Showcase Your Skills: Make sure to highlight your hands-on experience with agentic AI systems and code generation tools. We want to see what you've built, so include examples of your work that demonstrate your expertise in the fintech domain.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect how your skills and experiences align with our mission at Sokin. Show us why you're the perfect fit for the AI Engineer role.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
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’s super easy!
How to prepare for a job interview at Sokin
✨Know Your AI Tools
Familiarise yourself with the specific agentic code generation tools mentioned in the job description, like Claude Code and LangChain. Be ready to discuss your hands-on experience with these tools and how you've used them to solve complex problems in previous projects.
✨Showcase Your Work
Prepare a portfolio that highlights your best projects related to AI systems, especially those involving RAG pipelines and context management. If you can, include architecture diagrams and workflow descriptions to illustrate your thought process and technical skills.
✨Understand Fintech Compliance
Brush up on the compliance and security requirements relevant to fintech. Be prepared to discuss how you've ensured that your AI solutions meet these standards, particularly in areas like data privacy and auditability.
✨Collaborate and Communicate
Since this role involves cross-functional collaboration, think of examples where you've worked closely with product managers or engineers. Highlight your communication skills and how you’ve contributed to team success in delivering AI-powered solutions.