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 undergoing a major shift in its insurance technology strategy, moving away from traditional infrastructure toward advanced, agent-driven AI solutions. This role puts you on a worldwide team dedicated to engineering intelligent platforms that streamline complicated insurance operations, allowing brokers to dedicate more energy to critical thinking and relationship building with clients.
Responsibilities
- Pinpoint promising areas where AI can add value across different aspects of Insurance Broking work
- Plan, construct, and roll out enterprise-ready AI platforms that simplify complex insurance operations
- Create AI-enabled tools powered by LLMs, RAG, document handling, information extraction, categorization, and agent-oriented designs
- Partner closely with brokers, underwriters, and operational teams to identify pain points and develop solutions that scale
- Manage the complete lifecycle of AI products, covering everything from initial concepts and prototypes to launch, tracking, and ongoing refinement
- Construct thorough evaluation mechanisms for AI systems, incorporating test coverage, monitoring, performance analysis, and hallucination identification
- Champion quick-turnaround experimentation and push forward innovative practices rooted in modern AI engineering
- Elevate operational performance, cut down processing timeframes, and strengthen business output through intelligent automation
- Provide direction and support to other engineers, reinforcing effective methods for delivering trustworthy AI solutions
- Explore and incorporate the latest AI innovations to tackle problems unique to the insurance field
Requirements
- A Bachelor's or Master's degree in Computer Science, Engineering, or a related area, or equivalent real-world experience
- A minimum of 3 years of relevant work history in Software Engineering, AI/ML, Machine Learning, or similar fields
- Strong working knowledge of Python and TypeScript
- Demonstrated success bringing AI-driven products from early-stage concept all the way to live deployment
- Direct experience applying machine learning models and Large Language Models (LLMs) in real settings
- Exposure to current software development methods, including CI/CD pipelines and containerized environments
- Excellent analytical capabilities, sound judgment in problem-solving, and clear communication
- Skill in translating technical material into terms that make sense for non-technical business audiences
- Excellent English communication skills (B2 level or higher)
Nice to have
- Familiarity with (Re)Insurance Underwriting Operations to deepen insight into industry-specific procedures
- Awareness of Infrastructure as Code practices, especially as they relate to security, to support consistent and protected environment builds
- Prior background within the Insurance field to inform and enrich AI solution planning
- Direct experience with Monitoring and Observability solutions to ensure ongoing visibility into system performance post-launch
- History of Technical Leadership, including directing teams and influencing the broader engineering vision