Senior Artificial Intelligence Engineer, Project Arnaud

• Strong experience delivering production AI/ML systems, supported by excellent software engineering fundamentals
• Strong programming skills in Python and experience with typed application languages such as TypeScript
• Practical experience with modern ML and LLM systems, including structured outputs, retrieval, tool use and evaluation
• Strong understanding of experimental design, model limitations and systematic error analysis
• Experience building and operating cloud services, including testing, observability and AI/ML operations
• Ability to translate ambiguous requirements into clear technical approaches and reliable implementations
• Clear communication, collaborative judgement and end-to-end ownership
• Strong foundations in probability, statistics and optimisation
• Practical depth in one or more of probabilistic modelling, decision theory, planning, causal inference, simulation or complex systems modelling
• Experience implementing and evaluating advanced computational methods against meaningful baselines
• Ability to assess research critically and translate relevant methods into production software

Desirable

• We’re looking for exceptional AI engineers to help build and scale Kinsworth, our AI-native financial intelligence platform
• You’ll play a central role in advancing our AI capabilities, working across applied machine learning, reasoning and decision models, and production engineering. This is a hands-on role with substantial technical ownership and the opportunity to shape a core part of the product
• You combine strong engineering fundamentals with intellectual curiosity and sound judgement. You enjoy working through complexity, evaluating new approaches and turning promising ideas into reliable software. You communicate clearly, collaborate generously and take responsibility for what you ship
• Design, develop and operate core AI capabilities within Kinsworth
• Build and improve reasoning, knowledge and decision systems
• Combine language models with structured data, computational methods and specialist models
• Design rigorous evaluations and experiments to measure quality, reliability and performance
• Own capabilities from data preparation and prototyping through deployment, monitoring and continuous improvement
• Assess emerging research and technologies, applying them where they deliver measurable value
• Work closely with engineers, domain experts and product colleagues to shape technical direction and delivery
• Build secure, scalable and maintainable systems for Kinsworth’s financial intelligence platform

• Step 1: Meet the recruiter
• If you meet the grade we will have a short discussion with you to understand you more and get to know us and the role
• Step 2: First (technical) interview
• The team you could be working with will interview you. Some roles have a technical part of the interview process
• Step 3: Second (final) interview
• A second stage interview will go deeper about you and how you align with us as a company
• Step 4: Decision
• We will make a decision and let you know why. We will never ghost you or give you generic feedback