RegGenome is a regulatory data technology company and a leader in 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 mid-level Python Backend Engineer to join our remote-first, cross-functional tech team.
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.
Reporting directly to the Head of Engineering, you will work closely with senior infrastructure engineers, pipeline developers, ML engineers, UI developers, document quality specialists, legal experts, and product managers to enhance and improve our data model, the AI-driven document processing pipeline, API layers, internal tool,s and UIs. You will create high-level and detailed designs, and work collaboratively regards coding best practices, PR reviews, troubleshooting, production monitoring, UI best practices, and code efficiency.
About you:
- You’re an experienced engineer spanning backend working in Python
- 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-oriented, 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
- Several years production experience with Python 3
- Experience with database schema design and an understanding of optimisations for read-heavy and write-heavy workloads with PostgreSQL
- Production experience with API design & benchmarking especially JSON REST APIs and FastAPI
- Excellent coding skills and an appreciation for best practices in coding, PR reviewing, and agile development with daily deliveries to production
- Experience with Kubernetes in AWS and/or GCP
Nice to have:
- Experience with Typescript, React, and UI coding best practices
- Experience with asynchronous pipeline processing technologies, and in particular, Temporal
- Experience working in the context of a growing organisation from start-up to scale-up
- Experience remote working with international teams
We are only accepting applications from candidates able to work in the UK at this time.
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