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- Tasks: As an AI Product Engineer, you'll develop and present innovative AI solutions while collaborating closely with the Solutions team.
- Company: V7 is a leading AI company transforming human knowledge into trustworthy AI for Fortune 500 clients.
- Benefits: Enjoy stock options, revenue sharing, private healthcare, 30 days paid holiday, and a generous learning budget.
- Why this job: Join a top-ranked B2B company and work on cutting-edge AI applications in a dynamic startup environment.
- Qualifications: A degree in computer science or related fields, plus experience with Large Language Models and strong engineering principles.
- Other info: Flexible hybrid working, stunning company retreats, and opportunities to attend major AI conferences.
The predicted salary is between 43200 - 72000 £ per year.
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: V7 Go Tour
You can also watch the keynote of V7 Go\’s launch here: V7 Go Launch Keynote
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 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 #J-18808-Ljbffr
AI Product Engineer (Agents) employer: V7
Contact Detail:
V7 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Engineer (Agents)
✨Tip Number 1
Familiarize yourself with the latest advancements in Foundation Models. Stay updated on trends and breakthroughs in AI, as this knowledge will be crucial during your discussions with the Solutions team and in presenting your ideas to leadership.
✨Tip Number 2
Engage with the AI community by attending relevant conferences or webinars. This will not only expand your network but also give you insights into real-world applications of AI that you can leverage in your role at V7.
✨Tip Number 3
Practice articulating your AI solution vision clearly and concisely. Being able to communicate complex technical concepts to both technical and non-technical stakeholders is key to succeeding in this role.
✨Tip Number 4
Explore the V7 Go platform through the provided tour and keynote. Understanding the product deeply will help you identify potential improvements and innovative applications that align with the company's goals.
We think you need these skills to ace AI Product Engineer (Agents)
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the AI Product Engineer position. Understand the key responsibilities and required skills, especially around Foundation Models and AI project management.
Tailor Your CV: Customize your CV to highlight relevant experience in AI, engineering, and any projects involving Large Language Models. Emphasize your problem-solving skills and any previous work in fast-paced environments.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of V7's mission. Discuss how your background aligns with their goals and how you can contribute to their innovative projects.
Showcase Your Technical Skills: In your application, mention any technical skills relevant to the role, such as programming languages (like Elixir and Python), experience with AI frameworks, and your ability to implement solutions. Provide examples of past projects where you successfully applied these skills.
How to prepare for a job interview at V7
✨Understand the Product and Its Applications
Before your interview, take the time to explore V7's products, especially V7 Go. Familiarize yourself with how it enables no-code AI workflows and the real-world use cases it addresses. This knowledge will help you articulate how your skills can contribute to enhancing these applications.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Large Language Models and any relevant projects you've worked on. Highlight your understanding of foundation models, prompt engineering, and API integration. Even if you haven't worked with Elixir or Python, express your eagerness to learn and adapt to their tech stack.
✨Demonstrate Solution Ideation
Think about potential AI solutions that could enhance V7's platform. During the interview, share your ideas and how they align with the company's vision. This will showcase your ability to think critically and creatively about product development.
✨Prepare for Collaborative Discussions
Since the role involves close collaboration with the Solutions team, be ready to discuss how you approach teamwork and communication. Share examples of how you've successfully collaborated in past roles, especially in fast-paced environments, to demonstrate your fit for the company culture.
