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For Companies At a Glance
- Tasks: Join us to build and own core AI/ML systems and scale innovative products.
- Company: A dynamic AI start-up founded by top-tier consultants, focused on cutting-edge technology.
- Benefits: High equity options, hands-on experience, and a chance to shape the future of AI.
- Why this job: Be part of an exciting journey in a fast-paced environment with real impact.
- Qualifications: 3-6+ years in AI software engineering with strong MLops/LLMops experience required.
- Other info: This is a unique opportunity to join at the ground level and influence product direction.
The predicted salary is between 43200 - 72000 ÂŁ per year.
A well-funded, seed-stage AI start-up, founded by ex-top-tier consultants, is hiring its first founding AI engineer to help build a new kind of AI-native knowledge platform. Already live with its first product and early revenue projected (high six-figure ARR this year), the company is now developing a second, more ambitious system that uses LLMs, RAG, and multi-source data ingestion to solve real problems in a complex, high-value industry. This is a rare opportunity to join early, build real AI systems, and take ownership of core architecture and product direction.
What You’ll Do
- Build and own core AI/ML systems (Python, MLops/LLMops pipelines, integrations, data retrieval)
- Architect and scale a product that works across messy enterprise data (SharePoint, Slack, Outlook, etc.)
- Define infrastructure and engineering best practices from the ground up
What We’re Looking For
- 3–6+ years AI software engineering and deployment experience
- Strong exposure to MLops / LLMops, ideally in real-world AI product builds
- Experience with unstructured data, search/re-ranking, or retrieval systems (e.g., RAG)
- A “builder” mindset, fast, hands-on, pragmatic, collaborative
- Excited by early-stage start-up life
Founding AI Engineer employer: Fabrik Talent
Contact Detail:
Fabrik Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding AI Engineer
✨Tip Number 1
Network with professionals in the AI and tech start-up space. Attend meetups, webinars, or conferences where you can connect with founders and engineers. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Showcase your hands-on experience with AI systems by contributing to open-source projects or building your own. This demonstrates your 'builder' mindset and practical skills, which are crucial for a founding role.
✨Tip Number 3
Familiarise yourself with the specific technologies mentioned in the job description, such as MLops, LLMops, and data retrieval systems. Being able to discuss these topics intelligently during an interview will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your vision for AI product development and how you would approach building scalable systems. This shows that you’re not just a follower but someone who can lead and innovate in a start-up environment.
We think you need these skills to ace Founding AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI software engineering, particularly focusing on MLops and LLMops. Use specific examples from your past work that demonstrate your ability to build and deploy AI systems.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and start-up culture. Explain why you are excited about the opportunity to join an early-stage company and how your skills align with their mission to build innovative AI solutions.
Showcase Your Projects: If you have worked on relevant projects, consider including a portfolio or links to your GitHub. Highlight any experience with unstructured data, search/re-ranking, or retrieval systems, as these are key aspects of the role.
Prepare for Technical Questions: Anticipate technical questions related to AI/ML systems and be ready to discuss your approach to building scalable architectures. Brush up on your knowledge of Python and relevant frameworks to demonstrate your expertise during potential interviews.
How to prepare for a job interview at Fabrik Talent
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI software engineering, particularly in Python and MLops/LLMops. Bring examples of past projects where you've built or deployed AI systems, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Vision
Research the start-up's mission and current products. Being able to articulate how your skills align with their goals will show that you're genuinely interested in contributing to their success.
✨Demonstrate a Builder Mindset
Emphasise your ability to work in fast-paced environments and your experience in taking ownership of projects. Share specific instances where you’ve had to be pragmatic and collaborative to solve complex problems.
✨Prepare Questions About Their Challenges
Think about the potential challenges they might face with unstructured data and multi-source integrations. Asking insightful questions not only shows your understanding of the field but also your eagerness to contribute solutions.
