- Location
- London, UK · London, England, United Kingdom
- Department
- Enterprise Engineering
- Source
- Greenhouse
Description
Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.
You will:
- Own large new areas within our product, driving features from design through production deployment.
- Work across backend, frontend, and interacting with LLMs and ML models
- Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components.
- Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences.
- Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with customers.
- Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP.
- Adapt quickly—learning new technologies, frameworks, and tools as needed across the stack.
Ideally you'd have:
- 4+ years of full-time engineering experience, post-graduation
- Strong experience in Python or Javascript/Typescript
- Experience scaling or shipping products at high-growth startups.
- Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome).
- Proficiency with SQL and modern API development.
- Experience with Kubernetes, containerization, and microservice architectures.
- Experience working with at least one major cloud provider (AWS, GCP, or Azure).
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
