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For Companies At a Glance
- Tasks: Build and scale AI platforms, creating custom no-code agents for various industries.
- Company: V7, a fast-growing AI company backed by industry pioneers.
- Benefits: Competitive salary, inclusive culture, and opportunities for personal growth.
- Why this job: Join a dynamic team and make a real impact with cutting-edge AI technology.
- Qualifications: Experience in functional programming and familiarity with cloud infrastructure.
- Other info: Embrace diversity and inclusion while working in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Product Engineer (Backend) role at 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.
Product
V7 Go provides legal, finance, insurance, and accounting teams with a toolkit for deploying and building custom no-code AI agents. The platform focuses on taking multimodal 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.
Team
- Reporting to Chris, our Engineering Manager, you’ll be working in the Go Engineering team.
- You’ll be part of a small team of (eventually) 7 people and be given significant responsibility, not just for coding but also for testing, planning, and analysis.
- You’ll set your own goals, plans, and metrics, focusing on impact and outcomes rather than task completion.
- Engineers are expected to be self‑st starters who really strive for impact, proactively solving problems and having a strong sense of product ownership.
Responsibilities
- Enabling foundation models to be applied to multimodal data at scale.
- Helping to scale our platform to meet challenging multi‑tenant usage patterns.
- Building a rich suite of APIs to power all of our internal systems and customer‑facing products.
- Shipping to production multiple times a day, working closely with Product and Design to solve customer problems.
Qualifications
- You’ll have experience with functional programming. Familiarity with Elixir is a plus, but other languages like Scala, Go, Node, Haskell, Clojure, and F# are also great.
- Infrastructure management experience at scale; ideally you should be comfortable using AWS and Terraform.
- An understanding of queue management and observability.
- Experience with orchestration tools like Docker.
- Knowledge of GenAI and prompt engineering.
- Place the customer at the heart of everything you do.
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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Product Engineer (Backend) employer: V7
Contact Detail:
V7 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Engineer (Backend)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at V7. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or side projects, make sure to highlight them during interviews. It’s a great way to demonstrate your experience with functional programming and APIs.
✨Tip Number 3
Prepare for technical challenges! Brush up on your knowledge of AWS, Docker, and orchestration tools. Being ready to tackle real-world problems will impress the team.
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you don’t tick every box, we value unique experiences and perspectives. Just let us know how we can support you!
We think you need these skills to ace Product Engineer (Backend)
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and how it can transform industries. Share any relevant projects or experiences that highlight your interest in building innovative solutions.
Tailor Your Application: Make sure to customise your application to reflect the specific skills and experiences mentioned in the job description. Highlight your experience with functional programming and any familiarity with Elixir or similar languages to catch our eye.
Be Clear and Concise: We appreciate straightforward communication. Keep your application clear and to the point, focusing on your achievements and how they relate to the role. Avoid jargon unless it's relevant to the position.
Apply Through Our Website: We encourage you to apply directly through our website. This way, we can ensure your application gets the attention it deserves. Plus, it’s the easiest way for us to keep track of all applicants!
How to prepare for a job interview at V7
✨Know Your Tech Stack
Make sure you’re familiar with the programming languages and tools mentioned in the job description, especially functional programming and any experience with Elixir. Brush up on your knowledge of AWS, Terraform, and orchestration tools like Docker, as these will likely come up during technical discussions.
✨Showcase Problem-Solving Skills
Prepare examples of how you've proactively solved problems in past projects. V7 values self-starters who take ownership, so be ready to discuss specific challenges you faced and how you tackled them, particularly in a team setting.
✨Understand the Product and Its Impact
Familiarise yourself with V7 Go and its mission to turn human knowledge into trustworthy AI. Be prepared to discuss how you can contribute to building custom no-code AI agents and how you would approach scaling the platform for multi-tenant usage.
✨Emphasise Customer-Centric Thinking
V7 places the customer at the heart of everything they do. Think about how your previous work has focused on user needs and outcomes. Be ready to share insights on how you would ensure that customer feedback informs your engineering decisions.
