At a Glance
- Tasks: Build and deploy cutting-edge AI systems for enterprise clients, transforming business operations.
- Company: Join Stackfix, a high-growth AI firm backed by top-tier investors.
- Benefits: Competitive salary, mentorship from industry leaders, and hands-on experience in AI.
- Other info: Dynamic, apprenticeship-style environment with significant ownership and career growth.
- Why this job: Learn from TikTok veterans and make a real impact in diverse industries.
- Qualifications: 4+ years in full-stack software engineering with a passion for innovation.
The predicted salary is between 60000 - 80000 £ per year.
About the Company
Stackfix is a high-growth AI implementation firm backed by Tier 1 investors. They bridge the gap between frontier AI and real-world business operations, deploying production-grade AI systems for PE funds and manufacturers, rather than building generic SaaS tools.
About the Role
The AI Engineer will build and deploy sophisticated AI systems for enterprise clients, managing workflows and transforming business operations. You will work directly with repeat founders who sold companies to TikTok, owning the end-to-end process of transforming workflows and growing client profits.
Why this role is remarkable:
- Learn directly from two exited founders (including a former TikTok engineering leader) in a high-intensity, apprenticeship-style environment.
- Gain deep expertise in frontier AI by building production systems that handle real transactions, rather than just experimenting with tutorials.
- Enjoy significant variety and ownership, shipping impactful solutions across diverse industries like logistics, ecommerce, and private equity within 4-9 month cycles.
What you will do:
- Build and deploy sophisticated AI systems and full-stack software that manage high-volume production workflows for enterprise clients.
- Interface directly with leadership at client sites to scope workflows and present high-impact AI transformation strategies.
- Own the full product lifecycle from initial technical discovery and architecture to shipping production-ready systems that generate real revenue.
The ideal candidate:
- 4+ years of full-stack software engineering experience with a proven track record of shipping production-grade systems.
- Demonstrates high agency and a passion for building through side projects, open-source contributions, or technical content creation.
- Exhibits a strong curiosity for business operations and a record of high performance in challenging environments (professional or personal).
AI Engineer employer: Stackfix
Stackfix is an exceptional employer for AI Engineers, offering a unique opportunity to work in a high-growth environment where you can learn directly from experienced founders who have successfully navigated the tech landscape. With a strong focus on employee growth and a culture that encourages ownership and innovation, you'll be at the forefront of deploying impactful AI solutions across various industries, all while enjoying the benefits of a collaborative and fast-paced workplace.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at Stackfix or similar companies. Use LinkedIn to connect and engage with them; you never know who might help you land that interview!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and any relevant side work. This is your chance to demonstrate your expertise and passion for building sophisticated systems, which is exactly what Stackfix is looking for.
✨Tip Number 3
Prepare for the interview by understanding Stackfix's mission and the industries they serve. Be ready to discuss how your experience aligns with their goals and how you can contribute to transforming workflows for their clients.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at Stackfix and ready to dive into the exciting world of AI engineering.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with full-stack software engineering and any projects that showcase your ability to build production-grade systems. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our team. Don’t forget to mention any relevant side projects or contributions that demonstrate your curiosity and agency.
Showcase Your Problem-Solving Skills:In your application, be sure to include examples of how you've tackled complex problems in previous roles. We love candidates who can think critically and come up with innovative solutions, especially in high-pressure environments!
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 the role. Plus, it shows us you’re keen on joining our team at Stackfix!
How to prepare for a job interview at Stackfix
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI. Be ready to discuss specific projects you've worked on, especially those that involved building production-grade systems. This will show your depth of knowledge and passion for the field.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex challenges in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers, focusing on how your solutions had a real impact on business operations.
✨Understand Their Business
Research Stackfix and their clients. Familiarise yourself with the industries they operate in, like logistics and ecommerce. This will help you tailor your responses and demonstrate your genuine interest in how AI can transform their workflows.
✨Ask Insightful Questions
Prepare thoughtful questions that show your curiosity about the role and the company. Ask about their approach to AI implementation or how they measure success in their projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.
