Senior AI Engineer

We are looking for a Senior AI Engineer to join our team. Our client is reshaping its approach to insurance technology, shifting away from outdated systems toward cutting-edge, Agentic AI-driven solutions. You'll become part of an international team focused on developing smart systems capable of automating intricate insurance processes, freeing up brokers to concentrate on high-value decisions and stronger client partnerships.

Responsibilities

• Spot valuable opportunities to introduce AI across various functions within Insurance Broking
• Architect, build, and launch production-ready AI systems designed to streamline intricate insurance processes
• Develop AI-driven applications using LLMs, RAG, document processing, data extraction, classification techniques, and agent-based frameworks
• Work hand-in-hand with brokers, underwriters, and operations staff to grasp business pain points and craft scalable AI-based solutions
• Take full accountability for the product journey, spanning ideation, prototyping, launch, ongoing monitoring, and iterative refinement
• Build comprehensive AI evaluation systems covering testing, performance tracking, monitoring, and detection of hallucinations
• Lead fast-paced experimentation and foster innovation by applying current AI engineering methodologies
• Boost operational output, shorten processing times, and enhance overall business efficiency through smart automation
• Guide and support fellow engineers while championing sound practices for developing dependable AI systems
• Investigate and integrate cutting-edge AI advancements to address challenges specific to the insurance sector

Requirements

• A Bachelor's or Master's degree in Computer Science, Engineering, or a comparable discipline, or equivalent hands-on experience
• At least 3 years of applicable background in Software Engineering, AI/ML, Machine Learning, or closely related areas
• Solid command of Python and TypeScript
• Track record of taking AI-based products from initial concept through to full production
• Practical experience working with machine learning models and Large Language Models (LLMs)
• Familiarity with contemporary software engineering approaches, such as CI/CD and containerization
• Sharp analytical thinking, strong problem-solving ability, and effective communication skills
• Capacity to break down technical topics in a way that resonates with business-side stakeholders
• Excellent English communication skills (B2 level or higher)

Nice to have

• Exposure to (Re)Insurance Underwriting Operations to strengthen understanding of sector-specific processes
• Understanding of Infrastructure as Code, particularly from a security standpoint, to enable secure and repeatable environment setup
• Prior experience within the Insurance sector to add valuable context to AI solution development
• Hands-on work with Monitoring and Observability tooling to maintain visibility into production system performance
• Experience in a Technical Leadership capacity, guiding teams and shaping engineering strategy