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For Companies At a Glance
- Tasks: Develop and present AI solutions, collaborate on product roadmaps, and implement cutting-edge features.
- Company: V7 is revolutionising AI platforms to enhance human productivity at scale.
- Benefits: Enjoy a full-time role with opportunities for growth in a fast-paced startup environment.
- Why this job: Join a dynamic team shaping the future of AI with real-world applications and innovative technology.
- Qualifications: Strong interest in AI, experience with LLM projects, and a passion for engineering principles.
- Other info: Entry-level position with mentorship from industry leaders and a chance to work on exciting projects.
The predicted salary is between 30000 - 42000 £ per year.
About V7
At V7, we’re building AI platforms that help humans do their best work, at incredible scale and speed. Our mission is to turn human knowledge into trustworthy AI, making complex tasks faster, smarter, and more accurate. We’re growing fast, backed by leading investors and AI pioneers (including the minds behind Transformers and Gemini).
The Product you’ll be working on
V7 Go provides legal, finance, insurance, and accounting teams with a toolkit for deploying and building custom no‑code AI agents. The platform focuses taking multi‑modal data and delivering verifiable outputs with transparent AI logic to ensure accuracy and compliance. V7 Go supports all of the latest models like GPT‑5, Claude 4.1, and Gemini 2.5 for the best accuracy and performance. Watch the V7 Go keynote to see what we’re building.
The team you’ll be joining and the impact you’ll have
- Join a small, high‑performing AI team pushing the boundaries of what our platform can achieve
- Your code will directly impact how thousands of customers solve real‑world challenges with AI
- High‑ownership, low‑process environment where your problem‑solving skills scale our AI capabilities
- Build agents, tune models, and ship AI solutions that power our entire platform
What you’ll be doing from day one
- Build LLM agents for document understanding, search, and image recognition that go from prototype to production fast
- Write clean, tested Python code that scales – no research papers, just working AI features
- Collaborate with AI and product teams to iterate on solutions that customers actually use
- Juggle multiple projects with high ownership using LangGraph and cutting‑edge AI frameworks
Who You Are
- 2+ years building production LLM apps with deep knowledge of APIs, prompt engineering, and RAG
- Python expert who writes clean, production‑ready code with a CS/engineering degree to back it up
- Natural problem‑solver who can explain complex AI challenges to anyone, from engineers to executives
- Pragmatic builder over academic researcher – you ship working solutions fast and love using tools like LangGraph
V7 champions equality and inclusion because diverse teams build better products. Don\’t check every box? Apply anyway — we value what makes you unique and will support you through the process, just let our Talent team know how they can help.
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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
Familiarise yourself with the latest advancements in Foundation Models, especially those mentioned in the job description like GPT-4 and Claude 3. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your ability to develop AI solutions by preparing examples of past projects or ideas that align with V7's mission. Be ready to discuss how you can apply these experiences to real-world use cases, as this is a key aspect of the role.
✨Tip Number 3
Network with professionals in the AI and SaaS sectors, particularly those who have experience in fast-paced startups. Engaging with industry peers can provide insights into the company culture and expectations, which can be beneficial during your application process.
✨Tip Number 4
Prepare to articulate your vision for AI solutions clearly and confidently. Practice explaining complex technical concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders at V7.
We think you need these skills to ace AI Product Engineer (Agents)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the AI Product Engineer position at V7. Familiarise yourself with their products, especially V7 Go, and how they leverage AI technology.
Tailor Your CV: Customise your CV to highlight relevant experience in AI, engineering, and any projects involving Large Language Models. Emphasise your problem-solving skills and any experience in fast-paced environments, as this is crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of the Foundation Model ecosystem. Discuss how your background aligns with V7's mission and how you can contribute to their innovative projects.
Showcase Your Technical Skills: In your application, be sure to mention any technical skills relevant to the role, such as programming languages (like Python or Elixir), experience with LLM API integration, and any familiarity with prompt engineering or fine-tuning models.
How to prepare for a job interview at V7
✨Show Your Passion for AI
Make sure to express your enthusiasm for AI and its applications during the interview. Discuss any personal projects or experiences that demonstrate your commitment to staying updated with the rapidly evolving Foundation Model ecosystem.
✨Demonstrate Technical Knowledge
Be prepared to discuss your understanding of Large Language Models, including LLM API integration and prompt engineering. Highlight any relevant experience you have, even if it's from academic projects or self-study.
✨Prepare Solution Proposals
Since the role involves solution ideation, come prepared with a couple of ideas on how you would approach developing AI solutions for real-world use cases. This shows initiative and your ability to think critically about the product.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the company's direction and the Go Platform. Inquire about their current challenges or future plans regarding AI development, which can help you understand how you can contribute.