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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: Enjoy high equity options and the thrill of working in a fast-paced environment.
- Why this job: Be part of a pioneering team, shaping the future of AI with real-world impact.
- Qualifications: 3–6+ years in AI software engineering with hands-on experience in MLops/LLMops.
- Other info: This is a unique chance to influence product direction from the ground up.
The predicted salary is between 48000 - 72000 £ 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 get insider information about the company and potentially 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 Python, MLops, and LLMops. Being able to discuss these technologies confidently during interviews will set you apart from other candidates.
✨Tip Number 4
Research the company's first product and understand its market position. Being knowledgeable about their current offerings and future ambitions will allow you to tailor your discussions and show genuine interest in their mission.
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 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 Collaborative Skills: Since the role requires a collaborative mindset, mention any experiences where you successfully worked in teams, especially in fast-paced environments. This will demonstrate your ability to thrive in a start-up setting.
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 collaboratively in a fast-paced environment. Share specific instances where you took initiative to solve problems or improve processes, as this aligns with the 'builder' mentality they are looking for.
✨Prepare Questions About Their Challenges
Think about the complexities of working with unstructured data and multi-source integrations. Asking insightful questions about their current challenges will not only show your understanding of the role but also your eagerness to contribute solutions.
