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Paperwork, Made Smarter

Full Stack Engineer

£60k – £80k • 0.0% – 0.25%
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Vector.ai is a machine learning start-up on a mission to transform document-driven operations in the supply chain and shape the future of inter-company and ‘inter-national’ trade. An applied AI company, we’re combining bleeding-edge machine learning research with a zealous focus on the customer; everything we do - across our stack - is informed by real-world operational insights. Our customers are some of the largest companies in the world, but our ambition is to help some of the most under-served companies too.

We’re searching for an experienced full-stack developer to build and maintain our public-facing application. The role will mainly involve developing real-time frontend and backend services, while frequently interacting with a multi-cloud environment. You will build a customer-facing product deeply connected to the ML components of the system, solving new problems regarding how users interact with the results and how they re-train the models through their input.

Specifically we want someone who can:

- Solve problems from understanding the available data to providing the functional UI requirements
- Architect solid frontend components, including snapshot testing and integration testing
- Develop and maintain APIs and data structures for ML-powered features
- Use cloud-native libraries, in a multi-cloud system
- Work with the DevOps to build CI/CD pipelines and help manage the infrastructure

Skills we expect:

- Ability to develop user interfaces following HTML usability best practices
- Extensive knowledge of modern front-end development, using React with Hooks and CSS-in-JS
- Capable to build scalable APIs using the most recent Python features
- Extensive experience with SQL and NoSQL databases
- Have worked commercially with containerized tools like Docker, Docker compose, Kubernetes, etc.

Experience that would be good to have:

- 3 - 5 years of commercial experience
- Ability to sensibly design features from a UI and UX perspective
- Experience with real-time interfaces and backends
- Have experience with distributed streaming platforms like Apache Kafka / Apache Pulsar / Google Cloud Pub/Sub, etc.

Generous salary and equity. Get in touch!

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