Senior AI Engineer — Reasoning & Decision Systems

Join Kinsworth, an AI-native financial intelligence platform, as a Senior AI Engineer. In this hands-on role, you'll design, develop, and operate core AI capabilities, improve reasoning and decision systems, and build secure, scalable systems for our platform. You'll work closely with engineers, domain experts, and product colleagues to shape technical direction and delivery. Enjoy a flexible remote work environment, competitive benefits, and the opportunity to make a significant impact in the fintech industry.

• Design, develop and operate core AI capabilities within Kinsworth, including reasoning, knowledge and decision systems.
• Combine language models with structured data, computational methods and specialist models to enhance product features.
• Assess emerging research and technologies, applying them where they deliver measurable value, and work closely with engineers and domain experts.

## Requirements

• 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.

# Valuable additional experience

• Financial or market data.
• Data governance and security in regulated environments.
• Temporal data, knowledge graphs or semantic modelling.
• Model adaptation, fine-tuning or feedback-driven improvement.
• Contributions to applied research or open-source engineering.