V7 turns human knowledge into trustworthy AI, powering products that solve our hardest problems. Our platform lets customers build no-code AI workflows that solve knowledge work with V7 Go, and leverage expert humans to improve frontier AI model knowledge with V7 Darwin.
V7 were recently ranked No 1 in Sifted’s top B2B companies for 2024 and raised a $33m Series A including the AI Fund @ Radical Ventures. We are backed by some of the best minds in AI, from Ashish Vaswani (Invented Transformers, the basis of GPT) Oriol Vinyals (Google Deepmind and Gemini co-lead), Christian Szegedy (X.ai) and AI leadership at Amazon, X, Isomorphic, and Google. V7 is used to power AI’s rollout at Fortune 500 organisations including Sony, Boston Scientific and Genentech.
Take a tour of the product you will be working on: https://www.youtube.com/watch?v=QGN8dnLo9o4
You can also watch the keynote of V7 Go’s launch here: https://www.youtube.com/watch?v=Hit-RogJKvg
About the role:
As an AI Product Engineer, you will sit within Engineering while maintaining a very close working relationship with our Solutions team. Your role will focus on pioneering cutting-edge applications of the latest advancements in Foundation Models to unlock features within the Go Platform.
What you will be doing:
Solution ideation and presentation: You will develop and present proposals to Leadership, Product and Engineering. Our roadmap is a collaborative effort, and the AI Product Engineer will play a critical role in steering where we invest our development capacity and providing direct input into the platform’s roadmap.
Enabling real world use cases: by working closely with the Solutions team, you will be able to champion key new capabilities to productionize and scale the most ambitious applications of GenAI.
Technical implementation: Once a feature is scheduled into the roadmap, you will stay involved throughout the implementation. Our BE is built in Elixir and Python, so a strong interest to learn our stack is essential, but previous experience is not required.
Who you are:
Strong interest in and commitment to staying abreast of the rapidly evolving Foundation Model eco-system, and a drive to leverage these capabilities in novel, real world use cases.
Experience delivering Large Language Model projects with customers, including LLM API integration, current knowledge of foundation models, prompt engineering, RAG, fine tuning, and managing AI projects.
You either come from an Engineering background, or your desire to ship working solutions has allowed you to build out a range of technical solutions. You pride yourself on strong Engineering principles to build robust, trustworthy and scalable solutions.
University degree in computer science, engineering, mathematics or related fields.
Solutioning: ability to develop and articulate an AI solution vision to technical and business stakeholders with customers and partners to match value proposition to business needs.
Thrived in another fast-paced SaaS startup or scale-up during a high-growth phase.
What’s in it for you:
Top 15% quartile equity options plan through an EMI scheme
Private Healthcare & dental care via Bupa for our UK employees, or equivalent allowance outside of UK
Pension contribution through Nest
£800 Learning and Development budget
Apple MacBook suitable for your role
Monthly wellbeing and mental health budget via ThanksBen
Personalised benefits platform via Thanks Ben
Enhanced Parental Leave
30 days holiday, plus an additional year for every day of service with V7, plus Bank Holidays on top
4-day company-wide and 4 day departmental retreats in stunning locations
Hybrid working with flexibility, role dependent
Temporary work from anywhere for one month in the calendar year
Paid tickets, accommodation, and travel to relevant conferences, nationally or internationally (NeurIPS, ICCV, CVPR, ...) to expand your network & knowledge during normal times
What's the interview process: Recruiter Screen, Meet the Hiring Manager (Brent), Meet Solutions Engineering, Take home task, Final Round - founders + culture fit
