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For Companies At a Glance
- Tasks: Design and build cutting-edge AI systems that transform financial services.
- Company: Join an early-stage AI company with a collaborative culture in London.
- Benefits: Competitive salary, equity options, private healthcare, and a new MacBook.
- Why this job: Shape the future of AI while making a real impact in a fast-paced environment.
- Qualifications: Strong AI/Machine Learning experience and excellent Python skills required.
- Other info: Founding-level role with significant career growth and team offsite events.
The predicted salary is between 64000 - 96000 £ per year.
We are partnering with an early-stage AI company building an agentic AI platform designed to transform how teams within financial services operate. This is a rare opportunity to join as a Founding AI Engineer, working at the core of the product and playing a key role in shaping both the technology and the engineering culture from day one.
The Opportunity
You will be building production-grade AI agents that automate complex, mission-critical workflows across client-facing and operational teams. These agents integrate with existing systems, pull from internal and external data sources, and execute real work on behalf of users with optional human-in-the-loop control. The platform is already live with paying customers, generating meaningful revenue, and has a long-term roadmap focused on scale, depth, and impact. This is not an R&D sandbox; this is real AI, in production, solving real problems.
What You’ll Be Doing
- Designing and building agentic AI systems using modern LLM and ML tooling
- Developing AI-driven workflows that integrate with existing enterprise systems
- Owning features end-to-end from concept through deployment and iteration
- Working closely with founders and stakeholders to shape product direction
- Moving quickly in a lean environment, shipping early and refining continuously
- Helping define engineering standards, architecture, and best practices
What We’re Looking For
- Strong experience as an AI / Machine Learning Engineer in production environments
- Hands-on experience with LLMs, AI agents, or autonomous systems
- Excellent Python skills and familiarity with modern ML frameworks
- Comfort working in early-stage or fast-moving startup environments
- A product-first mindset; you care deeply about what you’re building and why
- Someone who enjoys complexity, ownership, and building things from scratch
This role suits someone who takes professional pride in their work and wants to build something that genuinely changes how an industry operates.
Why This Role?
- Founding-level impact; your work will directly shape the platform
- Modern AI stack; building at the cutting edge, not maintaining legacy systems
- Strong equity upside alongside a competitive salary
- Hybrid London setup with a collaborative, high-calibre team
- A product already in market, with traction, revenue, and momentum
Package
- £80,000 - £120,000 base salary
- 0.2% - 0.6% equity
- Private healthcare
- Pension
- New MacBook
- Annual team offsite
AI Engineer employer: Tiro Partners
Contact Detail:
Tiro Partners Recruiting Team
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 AI and tech space, especially those who work at startups. Use platforms like LinkedIn to connect and engage with them. You never know who might have the inside scoop on job openings or can refer you directly!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and AI agents. This is your chance to demonstrate your hands-on experience and product-first mindset. Make sure to highlight any real-world impact your work has had.
✨Tip Number 3
Prepare for interviews by understanding the company’s product and its market. Dive deep into their existing AI solutions and think about how you can contribute to their mission. Tailor your responses to show that you’re not just a fit for the role, but also passionate about what they’re building.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team and being part of something impactful from the ground up.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI shine through! We want to see that you’re not just skilled but genuinely excited about building agentic AI systems and transforming industries.
Tailor Your Experience: Make sure to highlight your relevant experience in AI and machine learning. We’re looking for hands-on skills with LLMs and production environments, so don’t hold back on showcasing your achievements in these areas!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make it easy for us to see how your skills align with what we’re looking for. Avoid jargon unless it’s absolutely necessary!
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 this exciting opportunity as a Founding AI Engineer!
How to prepare for a job interview at Tiro Partners
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning concepts, especially around LLMs and agentic systems. Be ready to discuss your hands-on experience in production environments and how you've tackled complex problems using these technologies.
✨Showcase Your Projects
Prepare to talk about specific projects you've worked on that relate to the role. Highlight your contributions, the challenges you faced, and how you overcame them. This will demonstrate your ownership and product-first mindset, which is crucial for a founding engineer.
✨Understand the Company Vision
Research the company’s mission and the impact they aim to have in the financial services sector. Be prepared to discuss how your skills and experiences align with their goals and how you can contribute to shaping the technology and engineering culture from day one.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current challenges, future roadmap, and how they define success for the AI platform. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
