AI Techlead

We don't hire on CV titles. We hire on what you've shipped and what you've led. The team includes people who came through software engineering, data science, infra — what they share is proven AI expertise and a bias for building over theorising. As a tech lead, you bring the same plus the ability to take an ambiguous problem and a group of strong engineers and turn it into something running in production.

What you've done:

• Led the technical side of AI or software initiatives end-to-end: you've owned the architecture, made the hard calls, and shipped.
• Built and deployed AI applications using LLMs, RAG, agents, fine-tuning, voice AI, or equivalent (at production scale, with real users).
• Written Python that runs in production: you're a developer, not a notebook user, and you still enjoy writing the code.
• Worked with cloud infrastructure: Azure preferred, AWS or GCP also fine.
• Operated inside a complex organisation (or built the muscle elsewhere) and got things done across teams, not just within one.

How you work:

• You take ambiguous problems, set a direction, and bring people with you (without waiting for permission).
• You have strong technical opinions, formed through experience, and you're willing to defend them and change them.
• You're as interested in the business problem as in the technical solution.
• You explain your decisions clearly to people who don't share your context (engineers, business, leadership).
• You follow the GenAI field closely because you're genuinely curious, not because you have to.
• You've built something on the side (a tool, a project, a contribution) that shows you don't wait to be told what to learn.