Back to SearchSenior AI Engineer
Remote in Argentina, & 4 others
AI Solution Engineering& 11 others
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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 Our client is reshaping its approach to insurance technology, shifting away from outdated systems toward cutting-edge, Agentic AI-driven solutions.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