Founding AI/Data Engineer — Build Production AI, Equity
Founding AI/Data Engineer — Build Production AI, Equity

Founding AI/Data Engineer — Build Production AI, Equity

Full-Time 54000 - 90000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Build AI-powered systems and develop production-grade applications.
  • Company: Exciting seed-stage tech startup with a focus on innovation.
  • Benefits: Competitive salary up to £90K, equity prospects, and ownership.
  • Why this job: Shape core technical capabilities and collaborate with a respected CTO.
  • Qualifications: Strong software engineering skills and understanding of machine learning.
  • Other info: Fast-paced environment with significant growth potential.

The predicted salary is between 54000 - 90000 £ per year.

A seed-stage technology startup is seeking a Founding AI / Data Engineer to build AI-powered systems, focusing on production-grade applications rather than generic solutions. The role offers significant ownership, collaboration with a respected CTO, and the chance to shape core technical capabilities.

The ideal candidate will have strong software engineering skills, a solid understanding of machine learning fundamentals, and will be comfortable in a fast-paced startup environment.

This opportunity includes a competitive salary up to £90K with equity prospects.

Founding AI/Data Engineer — Build Production AI, Equity employer: HUG

Join a dynamic seed-stage technology startup where innovation meets opportunity. As a Founding AI/Data Engineer, you'll enjoy a collaborative work culture that fosters creativity and growth, with the chance to make a significant impact on cutting-edge AI applications. With competitive compensation and equity prospects, this role not only offers financial rewards but also the unique advantage of shaping the future of our technology alongside a respected CTO in a fast-paced environment.
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Contact Detail:

HUG Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Founding AI/Data Engineer — Build Production AI, Equity

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI and data engineering projects. This is your chance to demonstrate your expertise and passion for building production-grade applications that stand out 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 detail. Remember, confidence is key!

Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.

We think you need these skills to ace Founding AI/Data Engineer — Build Production AI, Equity

Software Engineering Skills
Machine Learning Fundamentals
AI-Powered Systems Development
Production-Grade Application Development
Collaboration
Fast-Paced Startup Environment Adaptability
Technical Ownership
Core Technical Capabilities Shaping

Some tips for your application 🫡

Show Your Passion for AI: When writing your application, let your enthusiasm for AI and data engineering shine through. We want to see how your passion aligns with our mission to build production-grade applications that make a difference.

Highlight Relevant Experience: Make sure to showcase your software engineering skills and any experience you have with machine learning. We’re looking for someone who can hit the ground running, so don’t be shy about sharing your past projects or achievements!

Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Founding AI/Data Engineer role. We appreciate candidates who take the extra step to connect their skills with what we’re looking for.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it shows you’re serious about joining our team!

How to prepare for a job interview at HUG

Know Your Tech Inside Out

Make sure you brush up on your software engineering skills and machine learning fundamentals. Be ready to discuss specific projects you've worked on, especially those that involved building production-grade applications. This will show your technical prowess and how you can contribute to the startup's goals.

Show Your Startup Spirit

Since this is a seed-stage startup, they’ll be looking for someone who thrives in a fast-paced environment. Share examples of how you've adapted to change or tackled challenges in previous roles. Highlight your ability to wear multiple hats and collaborate effectively with a small team.

Ask Insightful Questions

Prepare thoughtful questions about the company's vision, the CTO's expectations, and the technical challenges they face. This not only shows your genuine interest but also helps you gauge if the company culture aligns with your values and work style.

Demonstrate Ownership Mindset

Emphasise your willingness to take ownership of projects and drive them to completion. Discuss instances where you’ve led initiatives or made significant contributions, as this aligns perfectly with the role’s focus on significant ownership and shaping core technical capabilities.

Founding AI/Data Engineer — Build Production AI, Equity
HUG

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