Location: London (Liverpool Street)
Employment Type: Full-time and Permanent
Remuneration (London; On-site): £70–90k Base Salary + Discretionary Bonus + Equity
We are a stealth-mode AI laboratory researching and developing Machine Learning models.
The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies.
The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems.
In this role, you will:
* Design and develop highly-scalable, fault tolerant and event driven systems.
* Take ownership of tasks, having a high degree of autonomy over your work.
* Work closely with the founding team and contribute towards best practices, standards, and culture of the company.
* Mentor your current colleagues, raising the bar for the company.
* Use AWS and manage it with Terraform.
* Write services in C# (.NET 9) and deploy to ECS or Lambda via GitHub Actions.
* Work with Postgres, SNS/SQS, and Redis.
* Maintain good end-to-end test coverage and confident deployments.
What we are looking for:
* Back-end development: 2-3 years of industry experience in back-end engineering developing reliable and scalable systems with an object-oriented programming language.
* Cloud-native technologies: Experience deploying to cloud platforms (AWS, GCP, Azure), understanding of containerisation (Docker), infrastructure-as-code (Terraform), and observability tools (Datadog, Grafana).
* Curiosity: Hunger to learn and grow skills.
* Problem solving: Strong analytical skills and attention to detail.
* Collaboration and communication: Excellent interpersonal and communication skills with technical and non-technical stakeholders.
We acknowledge that no candidate checks every box – that is okay. If you're passionate about solving complex challenges and eager to learn new technologies, we want to hear from you.
Nice to have:
* Machine Learning: Experience with generative models, LLMs, multi-modal models, and Deep Learning.
* Open-source: Contributions to open-source projects.
* Startup experience: Experience in a startup environment and ecosystem.
* Experience in cutting-edge AI research environments.
* An official role of “Founding Engineer” – make an impact from day one.
* Competitive salary, equity, and benefits.
* 28 days + public holidays holiday allowance.
* Opportunities for career growth and progression.
* Work on impactful engineering problems.
* Collaborate with high-profile customers and partners.
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