Location: London (Liverpool Street)
Employment Type: Full-time and Permanent
Remuneration (London; On-site): £70–90k Base Salary + Discretionary Bonus + Equity
Company: 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.
Role Overview: The role involves designing and developing backend infrastructure for Machine Learning workloads. You will work closely with the Machine Learning team, but no background in Machine Learning is required. We seek a software engineer experienced in cloud computing and distributed systems.
Responsibilities:
* Design and develop highly-scalable, fault-tolerant, and event-driven systems.
* Take ownership of tasks with a high degree of autonomy.
* Collaborate with the founding team to establish best practices, standards, and company culture.
* Mentor colleagues to raise the company's technical standards.
* Leverage AWS extensively, managing it with Terraform.
* Develop services in C# (.NET 9) and deploy via ECS or Lambda using GitHub Actions.
* Utilize Postgres, SNS/SQS, and Redis.
* Maintain good end-to-end test coverage to ensure confident deployments.
Candidate Requirements:
* At least 2-3 years of industry experience in back-end development, creating reliable and scalable systems with an object-oriented programming language.
* Experience deploying to cloud platforms (AWS, GCP, Azure), with knowledge of containerization (Docker), infrastructure-as-code (Terraform), and observability tools (Datadog, Grafana).
* A curious mindset with a desire to learn and grow.
* Strong analytical and problem-solving skills with attention to detail.
* Excellent communication skills, capable of engaging with both technical and non-technical stakeholders.
We understand no candidate checks every box; passion for solving complex challenges and openness to learning are valued.
Nice to Have:
* Experience with Machine Learning, including generative models, LLMs, multi-modal models, and Deep Learning.
* Contributions to open-source projects.
* Experience in startup environments and the broader ecosystem.
* Experience working in cutting-edge AI research environments.
* Official role title of "Founding Engineer" — make an impact from day one.
* Competitive salary, equity, and benefits.
* 28 days + public holidays leave.
* Opportunities for professional growth and career progression.
* Work on challenging engineering problems with industry impact.
* Collaborate with high-profile customers and partners.
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