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Graduate Software Engineer – Backend (Remote)

JR United Kingdom

City Of London

Remote

GBP 40,000 - 56,000

Full time

7 days ago
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Job summary

A stealth-mode AI laboratory is seeking a software engineer to develop backend infrastructure for Machine Learning workloads. This full-time, remote position offers a competitive salary between £40,000 and £56,000, along with equity and a discretionary bonus. Candidates should have experience in cloud computing and distributed systems, and a passion for solving complex challenges is essential.

Benefits

Discretionary Bonus
Equity
28 days plus public holidays leave
Relocation assistance to London
Opportunities for professional growth

Qualifications

  • Experience in back-end development with object-oriented programming languages.
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker).
  • Strong analytical problem-solving skills and attention to detail.

Responsibilities

  • Develop highly-scalable, fault-tolerant, and event-driven systems.
  • Collaborate with the founding team to contribute to best practices.
  • Utilize AWS extensively, managed with Terraform.

Skills

Back-end development
Cloud computing
Distributed systems
Object-oriented programming
Analytical problem-solving
Interpersonal skills

Tools

AWS
Docker
Terraform
C# (.NET 9)
Postgres
SNS/SQS
Redis
Datadog
Grafana

Job description

Location: Remote

Employment Type: Full-time and Permanent

Remuneration (UK – Remote): £40–56k + 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 developing backend infrastructure for Machine Learning workloads. You will work closely with the Machine Learning team; however, prior background in Machine Learning is not required. This is an applied role seeking a software engineer experienced in cloud computing and distributed systems.

In this role, you will:

  1. Develop highly-scalable, fault-tolerant, and event-driven systems.
  2. Take ownership of tasks with a high degree of autonomy.
  3. Collaborate with the founding team to contribute to best practices, standards, and company culture.
  4. Utilize AWS extensively, managed with Terraform.
  5. Work with services written in C# (.NET 9), deployed via ECS or Lambda using GitHub Actions.
  6. Use Postgres, SNS/SQS, and Redis.
  7. Maintain good end-to-end test coverage and confident deployment processes.

What we are looking for:

  1. Experience in back-end development, creating reliable systems with object-oriented programming languages.
  2. Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker), and observability tools (Datadog, Grafana).
  3. A curious mindset with a desire to learn and grow.
  4. Strong analytical problem-solving skills and attention to detail, with the ability to break down tasks into actionable steps.
  5. Excellent interpersonal and communication skills for working with both technical and non-technical stakeholders.

We acknowledge that few candidates meet all criteria—passion for data and solving complex challenges is key. We look forward to hearing from passionate candidates.

Nice to have:

  1. Experience with generative models, LLMs, multi-modal models, and Deep Learning.
  2. Contributions to open-source projects.
  3. Startup experience and familiarity with the broader ecosystem.
  4. Experience working in cutting-edge AI research environments.
  5. An official title of “Founding Engineer” to make an immediate impact.
  6. Competitive salary, equity, and benefits.
  7. Relocation assistance to London.
  8. 28 days plus public holidays leave.
  9. Opportunities for professional growth and career progression.
  10. Challenging engineering problems with industry impact.
  11. Work with high-profile customers and partners.
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