We look for character over credentials:
- We’re a specialist financial technology company transforming B2B credit (website)
- We’re backed by top European and American VCs including Dawn Capital, Octopus Ventures, Talis and Expa
- Founded in 2020, we are licensed and operating across the UK, Europe, US and Canada with offices in London, New York and Dallas
- Since our commercial launch in March 2022, we are already serving some of the world’s largest companies, providing them with superior credit protection and innovative risk management technology
About the role:
We’re looking for a Senior Engineer with great general skills to join our first-class technical team. An ideal candidate thrives on solving complex problems and is eager to shape how we build and apply AI and large language models within our products.
You’ll be deeply involved in technical decisions, architecture and best practices, while contributing directly to the codebase. Beyond core programming skills, we value interest or experience in data, security or DevOps that help raise the bar across the team.
Above all, we’re looking for a positive, collaborative individual – confident in their skills, focused on outcomes and able to challenge ideas constructively. Someone who balances productivity with continuous learning and improvement and who’s willing to both teach and learn from others.
You will report directly to our CTO, Yoel Marson (link). You’ll work closely with our Tech Leads, product managers and data teams, collaborating across disciplines to design and deliver high-impact features. You’ll play a key role in shaping how ideas move from concept to production — contributing to architecture, product direction and data-driven decision-making while expanding your technical breadth and leadership influence.
This is a fantastic opportunity to join one of the most exciting financial technology companies, with the chance to grow and develop alongside the business.
Our approach to Engineering:
We follow an Agile development methodology - but unlike others, we use a flexible variant of Scrum across the entire organisation, including executive tasks and decisions.
Our multidisciplinary team offers flexibility for individuals to move between core engineering, infrastructure, testing and research.
Our stack includes Go, VueJS, Postgres and Python, deployed through a fully automated AWS environment (Terraform, Ansible, GitHub Actions). Alongside this, we’re building the next generation of our data and AI infrastructure — exploring frameworks like Hugging Face, LangChain, LlamaIndex and agent orchestration systems.
We use Cursor and Copilot to speed iteration and experimentation. We’re always open to new approaches, whether it’s a different data stack, AI toolkit, or a creative way to apply LLMs in production.
Responsibilities:
- Design, build and scale robust services, APIs and user-facing features across the stack.
- Take ownership of end-to-end delivery — from technical design and implementation through to testing, deployment, and monitoring.
- Contribute to and evolve our architecture, helping define patterns and standards that improve scalability, reliability, and developer experience.
- Raise the engineering bar by driving best practices in testing, performance, and software quality.
- Collaborate closely with product, data, and design teams to translate ideas into technical solutions that deliver measurable impact.
- Mentor and support engineers through code reviews, pairing, and knowledge sharing — fostering a culture of learning and continuous improvement.
- Lead by example in cross-functional projects, helping align technical direction with business priorities.
- Explore and evaluate emerging technologies — particularly in AI, automation, and developer tooling — to keep us moving forward.
You might be a good fit if:
- 4+ years of software engineering experience.
- Expert-level ability in a server-side language such as Go, Python or Java.
- Solid experience across multiple areas of the stack — front end and back end.
- Strong relational database knowledge, including schema design and optimisation.
- Proficient with source control (Git/GitHub) and modern CI/CD practices.
- Strong architectural and systems-design skills.
- Some front-end experience with frameworks such as VueJS, React or Angular.
- Degree in Computer Science or related field (optional).
- Excellent communication and collaboration skills.
- Curiosity about AI tools and frameworks, and interest in how LLMs can improve developer productivity, automation, or decision systems.
Nice to haves:
- Experience with NoSQL databases (MongoDB, Cassandra, Redis).
- Familiarity with message brokers (Kafka, SQS/SNS, RabbitMQ).
- Knowledge of real-time streaming (Kafka Streams, Apache Flink, etc.).
- Exposure to big-data or machine-learning frameworks (TensorFlow, PyTorch, Hugging Face, LangChain).
- Experience working with AI-driven development tools such as Cursor, Copilot, or Replit Ghostwriter.
- Understanding of infrastructure and DevOps (Terraform, Ansible, AWS, Kubernetes).
- Interest in building or orchestrating AI/LLM agents.
- A passion for software security and data integrity.
Logistics:
- Compensation: Based on experience
- Employment type: Permanent
- Employee share option pool: Available - you will earn a stake in the company you are helping to build
- Location: Hybrid (office on Bermondsey Street, 5-minute walk from London Bridge Station)
Company benefits:
- Electric vehicle car scheme
- £100/year towards physical challenge of choice
- Learning and development support
