At a Glance
- Tasks: Evaluate AI performance, automate bank transaction categorisation, and build employee systems.
- Company: Join a forward-thinking tech company focused on innovation and growth.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional development.
- Other info: Dynamic team environment with excellent career advancement potential.
- Why this job: Make a real impact by owning projects from ideation to production.
- Qualifications: Strong STEM background and experience with relevant technology stack.
The predicted salary is between 50000 - 70000 Β£ per year.
Requirements
- Strong academic background in a STEM based subject e.g. Comp Sci, Maths, Engineering, Physics, Chemistry etc
- Experience with our technology stack
- Desire to take full end to end ownership of problems from solution ideation all the way out into production
- Hardworking & desire to build an amazing company
What the job involves
- Evaluating the performance of our AI document ingestion pipeline
- Minting and embedding real bank accounts into our application to allow clients to pay bills and employees
- Automating the categorisation of bank transactions using AI agents
- Building an orchestration layer to empower accountants to create agents for repetitive tasks
- Building out employee systems of record for payroll
Full Stack Engineer employer: Novabook
Novabook is an exceptional employer for Sales Graduates, offering a unique opportunity to thrive in a dynamic AI-native startup environment in the heart of Victoria, London. With a strong focus on employee growth, you will receive hands-on training and mentorship from experienced founders, fostering a culture of innovation and collaboration. The fast-paced atmosphere encourages personal development and allows you to make a meaningful impact from day one, making it an ideal place for ambitious individuals looking to kickstart their careers in B2B sales.
We think you need these skills to ace Full Stack Engineer
STEM Background
Experience with Technology Stack
End-to-End Problem Ownership
AI Document Ingestion
Bank Account Integration
Automation of Transaction Categorisation
Building Orchestration Layers