AI Engineer
Role details
Job location
Tech stack
Job description
is a rare chance to join at an early stage and help shape both the technical direction and team culture as the organisation grows. Culture & Ways of Working While the team is new, certain principles are non-negotiable: Hiring exceptional technical talent with outstanding communication skills Deep collaboration between engineers, product teams, and business stakeholders Curiosity, positivity, and a passion for learning Ownership, accountability, and pride in delivery Problem-solvers who thrive when working at pace A focus on practical, real-world impact - not just building models This is an environment for people who want to push boundaries and elevate the standard of what AI teams can deliver. Responsibilities As an AI Engineer, you will: Take end-to-end ownership of AI-centric technical products and projects Build and deploy machine learning systems that address real-world commercial challenges Translate business problems into well-framed AI opportunities Challenge existing processes
Requirements
to drive innovation and improve outcomes Stay up to date with fast-moving AI advancements Make an immediate impact - you will be trusted and empowered from day one What Our Client Is Looking For We are seeking candidates with strong theoretical grounding AND hands-on experience: Deep understanding of machine learning fundamentals Experience deploying LLMs in production (prompting, agent workflows, retrieval pipelines, evals, etc.) Knowledge of LLM inference techniques (KV caching, speculative/parallel decoding, etc.) Strong programming skills in Python + one of C++, Java or .NET SQL experience Experience with Azure or AWS Excellent communication and stakeholder engagement skills An entrepreneurial mindset with a bias for action Ability to manage AI projects end-to-end Financial services experience is a plus (not essential) Degree in Computer Science, Mathematics, Engineering, or similar from a reputable university Why This Role Stands Out Work with cutting-edge AI technologies and help shape the technical roadmap Immediate influence and ownership of impactful projects Collaborate with some of the brightest talent in Europe Projects tied to real-world events, markets, and emerging trends Direct exposure to senior stakeholders and domain experts Opportunity to help define a new team, new culture, and new standards