At a Glance
- Tasks: Own the agent layer and manage AI workflows in a fast-paced startup.
- Company: Leading AI platform based in Greater London, focused on innovation.
- Benefits: Substantial equity, fully remote work, and a chance to shape product direction.
- Why this job: Make a real impact in AI while enjoying flexibility and ownership.
- Qualifications: Strong coding skills and experience in deploying AI solutions.
- Other info: Join a dynamic team with exciting growth opportunities.
The predicted salary is between 60000 - 80000 £ per year.
A leading AI platform in Greater London is seeking a Full-Stack Engineer to own the agent layer and manage the AI workflows. Your role will involve building frameworks, integrating providers, and ensuring reliable agent performance in production.
The ideal candidate has strong coding skills, prior experience in deploying AI solutions, and is comfortable in a fast-paced startup environment. You will contribute to significant product direction and enjoy substantial equity for your contributions. This role is fully remote within the UK timezone.
Founding AI Engineer — Equity & Remote in London employer: DeepFlow
Contact Detail:
DeepFlow Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding AI Engineer — Equity & Remote in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech space, especially those who work at companies you're interested in. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially any AI solutions you've deployed. 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 practising common questions and scenarios related to AI engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Founding AI Engineer — Equity & Remote in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your coding skills and any experience you have with deploying AI solutions. We want to see what you've built and how you've tackled challenges in the past!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the job description. We love seeing how your experience aligns with our needs.
Be Yourself: We’re a startup, so we value authenticity. Let your personality shine through in your application. Share your passion for AI and why you want to be part of our journey!
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at DeepFlow
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your coding skills and be ready to discuss frameworks and AI solutions you've previously deployed. This will show that you’re not just a fit for the role, but also passionate about the tech.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in past projects, especially in fast-paced environments. Think of examples where you had to integrate providers or manage workflows effectively. This will demonstrate your ability to thrive in a startup setting.
✨Understand the Company’s Vision
Research the company’s mission and recent developments in the AI space. Being able to articulate how your skills align with their goals will impress the interviewers and show that you’re genuinely interested in contributing to their product direction.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technology stack they use, and their approach to AI workflows. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values.