Requirements

• You’ve worked at an early-stage tech startup (<100 employees) or have been a founder yourself
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• You have 3+ years of software engineering experience
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• Bonus: You have experience working on an AI product
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• Bonus: You’ve worked with some of the tools in our tech stack below
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• You’re keen to contribute to data science-type projects, such as prompt engineering to improve the accuracy we can get with GPT-4
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• You want to get involved in product work, rather than just being handed tickets. You’ll be expected to come up with features autonomously, by reading customer feedback and analysing usage data
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• You have an expert-level understanding of Typescript and React
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• You can function as a full-stack engineer, working on client and server-side code, as well as contributing to DevOps processes such as CI/CD

What the job involves

• This is an end-to-end Software Engineer Role. From understanding the requirements to observing the product being used. Through to building a case for improvements, coding those improvements, and iterating on them
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• You discover in user interviews that users are finding the email categorisation feature less accurate than they’d want. You quantify the label accuracy against a real executive assistant’s efforts. You then improve the accuracy using prompt engineering
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• You notice from product analytics that generating drafts on the dashboard is slow, causing user drop-off. You change the code to need fewer API calls and figure out where you can use a faster, less accurate LLM for some steps
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• Working hours are 9:00-17:30