AI Product Engineer (Agents)

Job title:

AI Product Engineer (Agents)

Company

V7

Job description

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=QGN8dnLo9o4You can also watch the keynote of V7 Go’s launch here: https://www.youtube.com/watch?v=Hit-RogJKvgAbout 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 stock options through a EMI scheme.
• Company wide revenue sharing bonus scheme.
• Private Healthcare via Bupa.
• 30 days paid holiday with an additional day for each year of service.
• Learning and Development wallet of £800 per year.
• Monthly well being and mental health budget.
• Personalised benefits platform via Thanks Ben.
• Enhanced parental leave.
• 4-day company wide retreats in stunning locations.
• Central London office near Oxford Circus (hybrid working with flexibility).
• 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

Expected salary

Location

London

Job date

Mon, 17 Feb 2025 23:18:45 GMT

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