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 Our client is reshaping its approach to insurance technology, shifting away from outdated systems toward cutting-edge, Agentic AI-driven solutions.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
We offer
-
International projects with top brands
-
Work with global teams of highly skilled, diverse peers
-
Healthcare benefits
-
Employee financial programs
-
Paid time off and sick leave
-
Upskilling, reskilling and certification courses
-
Unlimited access to the LinkedIn Learning library and 22,000+ courses
-
Global career opportunities
-
Volunteer and community involvement opportunities
-
EPAM Employee Groups
-
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
