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- Tasks: Lead the technical efforts in building a cutting-edge AI platform.
- Company: Join Agentic AI, a startup focused on innovative AI agent technology.
- Benefits: Enjoy remote work flexibility and equity in a pre-seed funded startup.
- Why this job: Be a founder, shape your vision, and work at the forefront of AI development.
- Qualifications: Experience in AI startups, hands-on with BERT models, and leadership skills required.
- Other info: Must be eligible to work in the UK or EU.
Founding CTO – Startup Agentic AI - £200k + equity – Remote (UK/EU)
Built or helped build an AI startup from scratch (or early-stage AI product)? Hands-on with BERT-era AI models (pre-LLM boom), with real-world deployment experience? Led small technical teams and collaborated directly with product, clients, or stakeholders? If yes to all three, we should talk.
The challenge: Spinning out from an AI incubator, we’ve just launched our platform for AI agents. Giving developers a way to build adaptive agents that can dynamically discover, compose, and execute actions without needing to hardwire every step, turning agent-to-agent interactions into a scalable, flexible system. Think of it as the action layer powering the emerging agent economy.
Why this is different:
- Pre-seed funding already secured.
- Step into a founder role - not an employee title.
- Own the PoC and build from it - your vision, your team.
- Work at the bleeding edge of true Agentic AI - not just agents automating tasks, but agents training and building other agents.
We’ve got our CEO on board and the next step is to bring on board a CTO to lead the technical efforts. We’re looking to speak with:
- CTOs
- Founders
- Lead/Principal AI Engineers
Hungry, entrepreneurial profiles who’ve either launched their own AI startup or built early-stage AI products from scratch.
About you: You’ll draw on your experience in AI/ML Engineering to drive the design of the platform and tailor it to be most efficient for AI Agents, and have the following:
- Experience working in an AI startup, ideally from the start
- Hands-on AI development - deep experience with BERT and other pre-LLM models (not just prompting GPT-4).
- Leadership - you’ve run small technical teams, worked directly with product, clients, and stakeholders.
- Action bias - you ship, you solve, you build.
- A solid background in AI (Engineering rather than Research)
- Possess a deep understanding of reinforcement learning, distributed training and Agentic AI
Not for you if:
- You’re more strategist than builder.
- Your AI experience is just post-ChatGPT.
- You’re mainly delivering analytics or dashboards dressed up as AI.
Please note: you must be eligible to work in the UK or EU to be considered for this position.
Interested? If you think you fit the bill, get in touch by clicking the ‘apply now’ button or get in touch with me by the following:
- Email me at mo@mbnsolutions.com
- Call me on 02037736498
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Chief Technology Officer
✨Tip Number 1
Network with other professionals in the AI startup space. Attend industry events, webinars, or meetups where you can connect with founders and CTOs who have experience in building AI products. This can help you gain insights and potentially get referrals.
✨Tip Number 2
Showcase your hands-on experience with BERT and other pre-LLM models through personal projects or contributions to open-source initiatives. This practical demonstration of your skills can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your leadership style and experiences in managing technical teams. Be ready to share specific examples of how you've collaborated with product teams and stakeholders to drive projects forward.
✨Tip Number 4
Research Agentic AI and its applications thoroughly. Understanding the nuances of this emerging field will not only help you in interviews but also demonstrate your genuine interest and commitment to the role.
We think you need these skills to ace Chief Technology Officer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in building AI startups or early-stage AI products. Emphasise your hands-on work with BERT-era models and any leadership roles you've held.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and your entrepreneurial spirit. Discuss specific projects where you led technical teams and collaborated with stakeholders, showcasing your action bias.
Showcase Relevant Experience: When detailing your experience, focus on your practical knowledge of reinforcement learning and distributed training. Mention any successful deployments of AI agents that demonstrate your capability to lead in this space.
Highlight Your Vision: Convey your vision for the role of CTO in your application. Discuss how you would approach building the platform for AI agents and your ideas for leading a team in this innovative environment.
How to prepare for a job interview at MBN Solutions
✨Showcase Your Hands-On Experience
Be prepared to discuss your direct experience with BERT-era AI models and any real-world deployments you've been involved in. Highlight specific projects where you contributed significantly, as this will demonstrate your technical expertise and practical knowledge.
✨Demonstrate Leadership Skills
Since the role involves leading a technical team, share examples of how you've successfully managed small teams in the past. Discuss your approach to collaboration with product managers, clients, and stakeholders to show that you can effectively bridge the gap between technology and business needs.
✨Emphasise Your Entrepreneurial Spirit
This position is for a founding CTO, so it's crucial to convey your entrepreneurial mindset. Talk about any startups you've launched or contributed to, focusing on your ability to take initiative, solve problems, and drive projects from concept to execution.
✨Prepare for Technical Questions
Expect in-depth technical questions related to AI/ML engineering, especially around reinforcement learning and distributed training. Brush up on these topics and be ready to explain complex concepts clearly, as this will showcase your depth of knowledge and ability to communicate effectively.
