Location: London (in-office)
Salary: £55k-£90k (based on experience)
Equity: 0.5%-1%
About HollyHires.ai
At HollyHires.ai, we’re re-inventing the way talent and opportunity meet.
Our initial product is Holly, an AI recruiter assistant that helps organisations find the right talent more effectively. The recruitment process, while crucial, is often complex and involves a lot of repetitive and mundane work. Sourcing on various platforms, collaborating with third parties, engaging with candidates, reviewing applications, organizing interviews and tests, gathering feedback from hiring managers… Handling this at scale can quickly become a nightmare, even with recruiters on board.
This is where Holly comes in. As an AI recruiter assistant, Holly is designed to help with your entire talent acquisition process. You teach her what you’re looking for, and she goes ahead to search, vet, reach out and interview candidates at scale, automating the repetitive parts while involving humans whenever necessary.
Our fast growing paid customer base is most excited about “Autopilot”: Holly’s ability to automatically find and reach out to candidates after she understood what a great candidate looks like. This saves them hours of time and lets them focus on the hardest part of recruitment: interviewing to determine the fit and selling the role.
We recently raised a $1.5m pre-seed by Tioga Capital, Portal Ventures and some amazing angel investors, and are looking to expand our team to get Holly to work for every growing company in the world.
About the role
As a founding engineer, you’re a key member of the founding team.
Your main responsibility is building a great product experience for our customers, pushing the bleeding edge of agent-based LLM applications.
For this early stage of the business, we’re building a strong team of generalists. You’ll be a key stakeholder in every important decision: prioritising the biggest problems, brainstorming pragmatic solutions, implementation, testing, releasing and maintaining. We’re looking for someone that is pragmatic, takes initiative and combines technical prowess and product intuition to go from vague specs to a minimal but satisfactory implementation in no-time, often involving some design work and user interaction.
Your work will involve mostly full-stack (web) work and anything related to LLMs: prompt-engineering, vector databases etc.