Python Engineer, Lendable

• Solid experience with Python in a web application context. You have some experience with web frameworks like FastAPI, Django or Flask, we use FastAPI
• Experience with Javascript/Typescript and a modern JS framework such as React, Angular or Vue.js. We generally use React & NextJS
• Strong engineering principles & practices: design patterns, testing, clean code and a good reviewerPrevious experience working in a product-focused team
• A keen desire to want to learn and input into a highly collaborative team
• A desire to learn about and experiment with Generative AI and LLMs (actual experience is a plus)

Desirable

• We’re looking for an experienced full-stack Python engineer to join us as the newest member of the Internal Tools team. Our mission is to deliver tools that maximise the effectiveness of employees at Lendable
• The team supports both our Operations function and our knowledge workers (Product, Engineering and Data)
• We have a strong focus on both Generative AI / LLM adoption as well as more traditional web applications
• Scaling sustainably and profitably is a key area of focus across all areas of our business. We’ve taken our first big steps towards achieving our goals by:
• Using LLMs to provide a co-pilot for customer service agents, helping them get the right answer faster
• Deploying an in-house hub for productivity tools, aiming to reduce the friction of accessing and using LLMs for employees
• Delivering many smaller tools to replace manual processes in fraud, investor management, ops and elsewhere
• But there is plenty more to do in this space and we’re looking for someone who can get stuck in and deliver value in a rapidly evolving, and often ambiguous space, working closely with product and end-users to find impactful solutions

• A 30-minute introductory call with the talent team
• A short coding exercise to complete in your own time
• Onsite or Video technical Interview lasting 60-90 minutes, comprising of:Introduction of the team and kind of work you could be doing daily
• Discussion around the coding exercise you completed [technical interview topics]
• Onsite or video cultural/behavioural interview, including questions you may have about the company, role, etc