Senior Full Stack Developer

Safe Intelligence is on a mission to make AI safe and reliable for everyone. To help us achieve this, we're seeking a Full Stack Software Engineer to join our team We're particularly looking for someone with strong TypeScript and React frontend expertise, coupled with experience in building robust APIs ideally in Golang. If you also have a knack for Kubernetes/containerisation, that's a significant bonus.
The role is 3/4 days per week onsite at our office in London.

As a Safe Intelligence Full Stack Software Engineer, you will:
Contribute significantly to software development on our TypeScript-based frontend systems, primarily utilizing React to craft intuitive and highly functional user interfaces.
Productize and enhance our Kubernetes-based cloud platform to ensure high-availability, scalability, and cost-efficient ML workflows .
Collaborate closely with our scientific and technical teams to interface with and containerize our PyTorch-based verification toolkit.
Champion an API-first development approach to deliver feature-rich, versioned interfaces that support both our TypeScript user interface and Python-based SDKs.
Develop and maintain Infrastructure as Code (IaC) and DevOps pipelines to ensure reliable service delivery and updates.

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.
Ability and experience in system programming, ideally using Golang. This includes knowledge of database (MongoDB) access patterns (e.g., While Golang is preferred, demonstrable API experience in other languages is also valuable.
Proficiency in integration 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.

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.
Experience configuring and maintaining cloud infrastructure including network infrastructure, compute, access control policies, load balancers, Public Key Infrastructure (PKI), and DNS. Ideally, experience with AWS and Terraform or similar IaC tools.
Passionate about delivering software to realise safe AI solutions in line with client needs.
Has a strong understanding of modern software engineering processes.
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.

Safe Intelligence is exploring uncharted waters, and finding the right crewmates is important to us. Compensation & Benefits
Safe Intelligence provides competitive compensation based on role and candidate experience. Mentoring, learning and development allowance
Regular team social and work events
Flexible and generous holidays. Equality and Inclusion
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 rigor 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