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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.
- Other info: This is a unique opportunity to join at the ground level and influence product direction.
The predicted salary is between 48000 - 84000 £ 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
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 industry leaders and potential colleagues. This can help you gain insights into the company culture and possibly get a referral.
✨Tip Number 2
Showcase your hands-on experience with AI/ML systems by working on personal projects or contributing to open-source initiatives. This demonstrates your practical skills and passion for building real-world applications, which is crucial for a founding role.
✨Tip Number 3
Familiarise yourself with the latest trends and technologies in AI, particularly around LLMs and RAG systems. Being well-versed in these areas will not only prepare you for technical discussions but also show your commitment to staying ahead in the field.
✨Tip Number 4
Prepare to discuss your vision for AI product development during interviews. Think about how you would approach building scalable systems and what best practices you would implement. This will highlight your strategic thinking and builder mindset, which are key for this role.
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 roles 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 work with a founding team and how your skills align with their vision for the AI-native knowledge platform.
Showcase Relevant Projects: If you have worked on projects involving unstructured data or retrieval systems, be sure to include these in your application. Describe your role, the technologies used, and the impact of your contributions.
Highlight Your Builder Mindset: In your application, emphasise your 'builder' mindset. Share examples of how you've taken ownership of projects, solved complex problems, and collaborated effectively in fast-paced environments.
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. Understanding their approach to AI and how they plan to tackle complex problems will help you align your answers with their goals during the interview.
✨Demonstrate a Builder Mindset
Emphasise your ability to take ownership and build from the ground up. Share specific instances where you've taken initiative in previous roles, especially in fast-paced environments, to show that you're a proactive problem-solver.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to handle messy enterprise data and integrate various systems. Think through potential challenges you might face in this role and how you would address them, showcasing your critical thinking skills.
