RegGenome is a regulatory data technology company and a leader in the field of computational regulation, changing how the world produces and consumes regulatory information. As a regulatory data provider, we process the world’s regulation using AI to transform what is human-readable into machine-readable and machine consumable data. RegGenome is a commercial spin-out of the Regulatory Genome Project (RGP), a pioneering public-private partnership with the University of Cambridge, Judge Business School, that aims to build universal information structures for describing regulation to create a regulatory commons.

Our team benefits from a strong connection to the University, bringing together deep expertise in scaling tech start-ups, developing NLP/ML models, and collaborating with regulatory communities. Following a successful seed funding round of £4.7 million in March 2022, we have established a solid product market fit and are experiencing significant commercial traction with global regulatory bodies and prominent international financial organisations. Building on this momentum, we are now finalising our Series A funding round and preparing to expand our team across all areas.

This is an exciting moment to join us on our journey as we leverage AI to create a world-leading repository for regulatory information.

What we are looking for:

We are looking for a Python Backend & API Engineer to join our remote-first cross-functional tech team of software engineers, data scientists & ML specialists.
We have developed a core document-processing capability for a rapidly expanding corpus of published regulations and supported regulatory themes which process millions of documents through several hundred ML models.
Working with us, you will gain extensive experience in applied AI for very large-scale document processing and delivery. Skills that are incredibly relevant to the industry today.
Your role will be to develop our AI-driven document pipeline, API layer and UIs, supporting our internal tools and customer-facing products.
You will report directly to the Head of Engineering and work closely with senior ML engineers, infrastructure engineers, pipeline developers, UI developers, document quality specialists, legal experts and product managers to enhance and improve our data model, the AI document processing pipeline, API layers, and UIs.

About the role:

You’re an experienced engineer spanning backend and frontend used to working in Python 3 and Typescript.
You like to own the whole solution, from database schema design to API format and UI design principles.
You’ll be comfortable working with Agile, testing work and deploying to production multiple times each day.
You are organised, detail-orientated, and able to seek out information from colleagues to guide your decision-making in a remote-first organisation.
You understand the importance of structuring work in Jira in epics, stories/tasks and sub-tasks, organising and combing the backlog, adjusting priorities to match business needs, and documenting clearly decisions in ticket comments, Notion pages and customer-facing engineering documentation.
You’re able to make explicit, reasoned, decisions trading off short and long-term requirements, for example by prioritising speed of delivery or reliability depending on the circumstances.

Nice to have:

Experience with database schema design and an understanding of optimisations for read-heavy write-heavy workloads with PostgreSQL.
Production experience with API design and benchmarking especially JSON REST APIs and FastAPI.
Experience with asynchronous pipeline processing technologies, and in particular, Temporal.
Excellent coding skills and an appreciation for best-practises in coding, PR reviewing, and agile development with daily deliveries to production.
Experience with Kubernetes in AWS and/or GCP.
Good engineering team leading skills, able to mentor and encourage team members to learn and grow their abilities.

What we offer: