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- Tasks: Design and build backend services for AI model training and data flow management.
- Company: V7 is an innovative AI platform company transforming human knowledge into trustworthy AI solutions.
- Benefits: Competitive salary, remote work options, and a chance to work with cutting-edge technology.
- Why this job: Join a fast-growing team shaping the future of vision AI with exciting challenges and impactful projects.
- Qualifications: Bachelor's in Computer Science or related field; strong portfolio; expertise in Elixir and functional programming.
- Other info: Work with advanced technologies like AWS, Docker, and RabbitMQ in a collaborative environment.
The predicted salary is between 64000 - 104000 £ per year.
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 work on
V7 Darwin is a specialized AI platform for creating high-quality training data and managing annotation workflows. It is engineered for teams building sophisticated computer vision models and solving complex, domain-specific challenges with AI. V7 Darwin provides a comprehensive suite of tools for data labeling, video annotation, and medical imaging annotation.
Take a 90-second tour or dive into how we’re shaping the future of vision AI.
About the Role
We work with billions of training data images to leverage some of the world\’s most complex and general purpose AI models. Our back-end development is world-class and not short of challenges.
Team’s mission: Design, build and orchestrate backend services that enable our customers to train and leverage AI models in an elegant and performant way.
Technologies we use: Elixir, Phoenix, Postgres, RabbitMQ, Docker, AWS
What You’ll Do
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Join the team in building solutions to speed up the time to complete annotations tasks
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Be the go to backend engineer in the team responsible for the data flow of the AI features, both from a codebase point of view and infrastructural one
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Take ownership of backend tasks related to our model training and inference systems, focusing on enhancing visibility and minimizing costs
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Upgrade/Redesign our autoscaling system for model interference
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Facilitate seamless integration between V7\’s web application and our AI system, serving as the crucial link to optimize our system for labeller’s speed
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Employ orchestration techniques to oversee backend tasks and jobs, guaranteeing that the models provided to customers are sufficiently resourced for efficient operation.
Who you are
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Bachelors or higher in Computer Science or a related field with a strong portfolio of projects.
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A backend engineer with strong architectural design skills
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Expertise in functional programming, with working experience using Elixir
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A strong interest in ML and applying AI to solve problems
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Infrastructure management experience at scale; you should be comfortable in using AWS and terraform
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Proficiency in queue management and observability, utilizing RabbitMQ as our primary tool.
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Experience with orchestration tools like Docker
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Fluent in English
#J-18808-Ljbffr
Engineering Product Engineer (Backend), Darwin London £80K - £130K employer: V7 Labs
Contact Detail:
V7 Labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Product Engineer (Backend), Darwin London £80K - £130K
✨Tip Number 1
Familiarise yourself with the technologies mentioned in the job description, especially Elixir and RabbitMQ. Consider building a small project or contributing to an open-source one that uses these technologies to demonstrate your hands-on experience.
✨Tip Number 2
Showcase your understanding of machine learning and AI by discussing relevant projects or experiences during networking events or interviews. This will highlight your passion for the field and your ability to apply backend engineering skills to AI challenges.
✨Tip Number 3
Engage with the V7 community on platforms like LinkedIn or GitHub. Follow their updates, participate in discussions, and share insights related to AI and backend development to get noticed by the hiring team.
✨Tip Number 4
Prepare to discuss your architectural design skills in detail. Think of specific examples where you’ve designed scalable systems or improved existing architectures, as this aligns closely with what V7 is looking for in a candidate.
We think you need these skills to ace Engineering Product Engineer (Backend), Darwin London £80K - £130K
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Engineering Product Engineer position at V7. Familiarise yourself with the technologies mentioned, such as Elixir, AWS, and RabbitMQ, to tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with backend development, particularly in functional programming and infrastructure management. Provide specific examples of projects where you've used Elixir or managed AWS environments.
Showcase Your Skills: Include a portfolio of your work that demonstrates your architectural design skills and any relevant projects related to AI or machine learning. This will help illustrate your capabilities and interest in the field.
Craft a Tailored Cover Letter: Write a compelling cover letter that connects your background and skills to V7's mission and the specific role. Mention your enthusiasm for working on AI platforms and how you can contribute to their goals, especially in enhancing backend services.
How to prepare for a job interview at V7 Labs
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Elixir and functional programming. Highlight specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Abilities
Since the role involves enhancing AI model training and inference systems, think of examples where you've solved complex problems in backend development. Be ready to explain your thought process and the impact of your solutions.
✨Familiarise Yourself with Their Tech Stack
Research V7's use of technologies like RabbitMQ, Docker, and AWS. Understanding how these tools fit into their workflow will show your genuine interest in the role and help you answer technical questions more effectively.
✨Prepare Questions About the Role
Think of insightful questions to ask about the team dynamics, project timelines, and the company's vision for AI. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
