AI‐First Product Engineer — Build Multimodal Agent Systems in London
AI‐First Product Engineer — Build Multimodal Agent Systems

AI‐First Product Engineer — Build Multimodal Agent Systems in London

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Build scalable AI systems and shape user interfaces for agent collaboration.
  • Company: Leading AI startup in London with a focus on innovation.
  • Benefits: Competitive salary, equity options, and a dynamic work environment.
  • Why this job: Join a fast-paced team and make an impact in the AI industry.
  • Qualifications: Full-stack development experience and familiarity with containerized environments.
  • Other info: Thriving in ambiguity is key for success in this role.

The predicted salary is between 36000 - 60000 £ per year.

A leading AI startup in London is seeking a Product Engineer to join a dynamic team focused on innovative AI solutions. This role involves building scalable systems using modern technologies like FastAPI and React, shaping user interfaces for agent collaboration, and defining technical strategies.

The ideal candidate is a full-stack developer with experience in containerized environments and thrives in fast-paced, ambiguous settings. A competitive salary and equity options are offered.

AI‐First Product Engineer — Build Multimodal Agent Systems in London employer: Skippr

Join a pioneering AI startup in the heart of London, where innovation meets collaboration. We offer a vibrant work culture that encourages creativity and growth, alongside competitive salaries and equity options. As part of our dynamic team, you'll have the opportunity to shape cutting-edge AI solutions while advancing your career in a fast-paced environment that values your contributions.
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Contact Detail:

Skippr Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI‐First Product Engineer — Build Multimodal Agent Systems in London

Tip Number 1

Network like a pro! Reach out to people in the AI and tech space, especially those who work at startups. A friendly chat can lead to insider info about job openings that aren't even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving FastAPI and React. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past experiences in building scalable systems.

Tip Number 4

Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our innovative team. It shows initiative and enthusiasm!

We think you need these skills to ace AI‐First Product Engineer — Build Multimodal Agent Systems in London

FastAPI
React
Full-Stack Development
Containerization
Scalable Systems Design
User Interface Design
Technical Strategy Definition
Adaptability in Fast-Paced Environments

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your full-stack development experience in your application. We want to see how you've used technologies like FastAPI and React in your past projects, so don’t hold back!

Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We’re looking for someone who can thrive in fast-paced environments, so share examples of how you’ve navigated ambiguity in your previous work.

Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at Skippr

Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, like FastAPI and React. Brush up on your full-stack development skills and be ready to discuss how you've used these tools in past projects.

Showcase Your Problem-Solving Skills

Prepare to share specific examples of how you've tackled challenges in fast-paced environments. Think about times when you had to adapt quickly or make decisions with limited information, as this role thrives in ambiguity.

Understand Multimodal Systems

Familiarise yourself with multimodal agent systems and be prepared to discuss how you would approach building them. This shows that you’re not just a coder but someone who understands the bigger picture of AI solutions.

Ask Insightful Questions

Prepare thoughtful questions about the team’s current projects and future goals. This demonstrates your genuine interest in the role and helps you assess if the company culture aligns with your values.

AI‐First Product Engineer — Build Multimodal Agent Systems in London
Skippr
Location: London
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  • AI‐First Product Engineer — Build Multimodal Agent Systems in London

    London
    Full-Time
    36000 - 60000 £ / year (est.)
  • S

    Skippr

    50-100
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