AI Product Engineer (Agents)

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