Founding AI Engineer

The Company We are building a context layer for compliance-led ICT organizations to deliver more effectively. Our focus is applying agents and large language models to help regulated companies (like banks) deeply understand complex, legacy, and fast-moving codebases. In many legacy institutions the people who know their code the best are long retired, outsourced or over the rainbow. We turn code into an enterprise context layer that is always up-to-date, evidence backed and readable by humans, regulators and AI agents. The Opportunity As the first engineer, you’ll own all technical aspects and be a co-founding partner of the business. You’ll decide on the tech stack, agent frameworks, model selection and everything to bring the business to market. You'll ship the pipelines, evaluation harnesses, and infrastructure that make LLM-powered code understanding accurate enough to trust. You’ll partner with a founder that has run product management at two successful startups (one IPO & one acquisition), been CMO at a $4.2B technology provider and worked as a GM at AWS. What you will build Our customer is a regulated EU enterprise often with a sprawling ICT landscape and digital transformation is among their top priorities. Their focus is on understanding this landscape, developing a plan for app consolidation and freeing up their best technical people to work on the most important things. You will be building the context layer for the ICT landscape: retrieval and analysis pipelines that turn large repositories into structured, queryable knowledge; LLM evaluation and quality measurement so we know that answers are right; enterprise platform engineering (security, governance and cost) so the product can live inside regulated environments; and the integrations that meet developers where they work. You'll work directly with the founder on what to build and with early customers. Who we're looking for A Master's degree (or higher) in computer science, statistics, mathematics, physics, or a related quantitative field, plus hands-on experience building ML/AI systems in production. Engineers and data scientists who have worked inside a bank, insurer, or other regulated enterprise and understand the demands of governance, model validation, and audit teams are particularly sought after. A combination of: strong Python and solid software engineering fundamentals (Spark, cloud platforms, CI/CD a plus); NLP/LLM and RAG experience, information extraction, fine-tuning, evaluation, or agentic systems; and experience productionizing models under regulatory or risk-management constraints. Most of all the person must be a partner setting the culture for the business with some of my shared values: Open and honest - this needs to be a two way relationship where we are honest with ourselves about the business and the work ahead. Naturally this extends to how the business is being run and that we remain open to change and constructive challenges from everyone on the team.Practical versus theoretical - hiring builders and an action oriented team is, for me, a high priority.Different & interesting - finding people that understand challenges and adversity will certainly make us stronger. Employees we both like and respect as people will motivate us to come to work everyday.Focused on the important things - great trips, free snacks and gym memberships attract people that are missing the point. It would be great to offer these perks but if we want to grow efficiently it will serve us better in the long-run to be a healthy growing business. The offer Founding-team equity and ownership of decisions that shape the trajectory of the business; the chance to bring AI to massive teams and change the way they work for the better. Be a part of building a product from 0 → 1. Process Send a short note about yourself and anything you've built (repos, papers, systems you're proud of) - a CV is fine but interest lies in what you’ve accomplished. Conversations are confidential.