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- Tasks: Build AI data pipelines and collaborate with enterprise customers on cloud solutions.
- Company: Exciting Y Combinator backed startup with a focus on innovation.
- Benefits: Up to £100,000 salary, equity, hybrid work model, and product ownership.
- Why this job: Join a fast-growing team and make a real impact in the tech world.
- Qualifications: 2-5 years of experience in software development and a BSc in Computing.
- Other info: Dynamic startup environment with opportunities for rapid career growth.
The predicted salary is between 60000 - 84000 £ per year.
A Y Combinator backed tech startup is seeking a Founding Engineer in the UK to work with enterprise customers on cloud deployments and LLM powered data pipelines. The ideal candidate will have 2-5 years of hands-on experience, a BSc in Computing, and a customer-centric mindset.
The position offers a hybrid model, a salary of up to £100,000 plus equity, and real ownership of the product in a fast-growing environment.
Founding Full-Stack Engineer — AI Data Pipelines (Equity) employer: Arrows
Contact Detail:
Arrows Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Full-Stack Engineer — AI Data Pipelines (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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and data pipelines. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios relevant to full-stack engineering. Don’t forget to brush up on your customer-centric approach, as that’s key for this role!
✨Tip Number 4
Apply through our website! We’re all about making connections, so submitting your application directly helps us see your enthusiasm and commitment. Plus, it’s a great way to get noticed!
We think you need these skills to ace Founding Full-Stack Engineer — AI Data Pipelines (Equity)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your hands-on experience in full-stack development and any relevant projects you've worked on. We want to see how your skills align with our needs, especially in cloud deployments and AI data pipelines.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the job description. Mention your customer-centric mindset and how it has helped you in previous roles. This shows us you’re genuinely interested in the position.
Be Authentic: Let your personality shine through in your written application. We’re looking for someone who fits into our culture, so don’t be afraid to express your passion for tech and innovation. A bit of enthusiasm goes a long way!
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 don’t miss out on any important updates. Plus, it makes the process smoother for everyone!
How to prepare for a job interview at Arrows
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies relevant to AI data pipelines and cloud deployments. Brush up on your full-stack skills, especially if you have experience with LLMs. Be ready to discuss specific projects where you've applied these technologies.
✨Showcase Your Customer-Centric Mindset
Since the role involves working with enterprise customers, prepare examples that highlight your ability to understand and meet customer needs. Think about times when you’ve gone above and beyond to ensure client satisfaction or solved a problem for them.
✨Demonstrate Ownership and Initiative
This position offers real ownership of the product, so be prepared to talk about instances where you took the lead on a project. Share how you’ve driven initiatives from concept to execution, showcasing your ability to work independently and make impactful decisions.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s vision, the tech stack they use, and how they measure success. This not only shows your interest but also helps you gauge if the startup aligns with your career goals.
