Front End Software Engineer (Typescript)

Safe Intelligence is on a mission to make AI safe and reliable for everyone. To help us achieve this, we're seeking a Front End Software Engineer to join our team! We're particularly looking for someone with strong front end engineering and Typescript experience and with some experience of backend development (ideally in Golang ). In this role, you'll be a key contributor to the development and operation of our cutting-edge cloud-based platform. You should have a passion for both science and engineering, a proven ability to deliver production-ready solutions, and a collaborative spirit to work closely with our product and research teams. The role is hybrid with 3-4 days / week in the office in London (Hammersmith). We're excited to have you contribute to our mission! Responsibilities: As a Safe Intelligence Front End Software Engineer, you will: Make key contributions to software development on our TypeScript-based frontend systems, primarily utilizing React to craft intuitive and highly functional user interfaces. Develop simple and intuitive UI to enable workflows around testing and validating Machine Learning systems with an eye to scalability, and asynchronous interactions. Interface with Golang-based cloud backend systems, focusing on API interactions and integration. Work proficiently across the entire stack to develop and integrate new features related to model versioning, dataset management, verification workflows, and result/metric aggregations. Requirements: The technical requirements for the role are: Must have Strong proficiency in JavaScript/TypeScript-based frontend development, with extensive expertise in React. This includes a deep understanding of the DOM, component design, CSS, and state management. Solid performance and security knowledge: profiling, memoization, code-splitting, tree-shaking, bundle analysis, Core Web Vitals, OAuth2/OIDC, JWT handling, CSRF/XSS mitigation, CSP/SRI, dependency hygiene. Proven experience interacting with and co-designing production-grade RESTful APIs ideally with an API-first approach. Strong knowledge of frontend polling and other async interactions patterns such as: polling/SSE/WebSockets for long-running tasks, optimistic updates, progress states, idempotent actions. Proficiency in integration, component and unit testing, with a strong commitment to code quality and maintainability. Strong knowledge of DevOps and Git best practices. Experience automating version control, testing, and releases, preferably with GitHub Actions. Nice to have Some experience in backend system development (ideally using Golang). This includes knowledge of database (MongoDB) access patterns (e.g., Optimistic Concurrency Control - OCC) and schema design, domain-driven architecture, and concurrency. Familiarity with the OpenAPI specification and code generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial. At a personal level we're also looking for someone who is: Passionate about delivering software to realise safe AI solutions in line with client needs. Deeply technical and constantly in a state of learning. Able to communicate clearly and efficiently with a variety of audiences including developers, clients, researchers, partners and executives. Fearless in getting "hands-on" with technology and execution. Has a strong understanding of modern software engineering processes. Comfortable with ambiguity with a drive for clarity. Collaborative with, and respectful of others on the team. Honest, straightforward and caring about each other's well being. Why Safe Intelligence is for you: We strongly

believe AI can empower individuals and society to be happier and more productive, but this can only be achieved if the systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. By joining us, you'll be able to help advance the techniques, bring advanced technologies to AI/ML engineers worldwide and contribute to our shared mission to realise successful and reliable AI. Grow with us! If you think you can bring something special to this role, please apply even if you do not meet all listed criteria. Safe Intelligence is exploring uncharted waters, and finding the right crewmates is important to us. We support ongoing learning for the whole team, ranging from individual mentorship to internal seminars and support for sector and technology-specific upskilling. Compensation & Benefits Safe Intelligence provides competitive compensation based on role and candidate experience. In addition, company benefits for all roles include: Stock option benefits Mentoring, learning and development allowance Regular team social and work events Flexible and generous holidays. We work hard and encourage everyone to take time off to recharge and enjoy other aspects of our lives. Equality and Inclusion We are proud to be an equal-opportunity employer and work hard to create an environment where people of diverse backgrounds and life experiences can thrive. The team is highly collaborative and meritocratic. Great ideas come from everywhere, and we strive to make it easy for people to express themselves and be heard. Location & Office Culture Safe Intelligence is based in London, UK, and we're focused on building the initial team here. We highly value the ability to work flexibly and remotely at times, but we also have a strong belief that regular in-office interactions make for a much more fulfilling and productive work experience. Our company culture combines optimism for the future (hard problems can be solved with the right effort), speed of iteration (the best ideas come from many ideas tested), and rigour in what matters (correctness and precision are critical for safety). Come and join us to add your skills and passion to the future of Safe Artificial Intelligence!