Senior AI Engineer

This advert was translated automatically from Portuguese. Read the original.

We're looking for a Senior AI Engineer to join our team in Portugal in a fully remote working mode. In this role, you will help transform core insurance operations by developing intelligent, AI-powered solutions that automate complex workflows, reduce processing time, and enable strategic decision-making. You will work on designing, building, and deploying enterprise-grade AI systems leveraging LLMs, Retrieval-Augmented Generation (RAG), and agent-based frameworks to improve operational efficiency for global stakeholders. This is an opportunity to drive innovation while ensuring reliability, scalability, and compliance for production-ready AI solutions. - Responsibilities: - Identify opportunities for AI adoption within insurance operations and deliver production-ready solutions - Design, develop, and deploy AI applications leveraging LLMs, RAG pipelines, and agentic workflows - Build intelligent document processing, information extraction, and classification systems for insurance processes - Define and implement AI evaluation frameworks for reliability, hallucination detection, and performance monitoring - Own the complete AI solution lifecycle from ideation and prototyping through deployment and continuous optimization - Drive rapid experimentation using modern development practices and emerging AI technologies - Collaborate directly with functional teams including brokers and underwriters to ensure business alignment - Implement frameworks for model observability, CI/CD automation, and secure data handling - Mentor engineers, promote AI best practices, and champion operational excellence in production systems - Research emerging trends and integrate cutting-edge AI technologies into enterprise-scale solutions Research emerging trends and integrate cutting-edge AI technologies into enterprise-scale solutions - Requirements: Requirements: - Bachelor's or Master's in Computer Science, Engineering, or related field, or equivalent practical experience - 5–8+ years of experience in software engineering, AI/ML, or applied machine learning roles - Strong proficiency in Python and experience building AI-powered products from concept to production - Hands-on knowledge of LLMs, Generative AI techniques, RAG, and agent-based AI workflows - Familiarity with full-stack fundamentals and API design for AI applications - Experience with CI/CD pipelines, containerization (Docker), and cloud platforms - Strong understanding of monitoring practices, secure data handling, and AI risk considerations (cost, latency, accuracy) - Excellent communication skills for bridging technical concepts with business objectives Excellent communication skills for bridging technical concepts with business objectives - Nice to have: Nice to have: - Previous experience in insurance or financial services domain - Exposure to multi-agent orchestration frameworks, fine-tuning LLMs, or model customization - Understanding of vector databases and AI observability frameworks - Familiarity with Kubernetes, Infrastructure as Code (IaC), and event-driven architecture - Experience in distributed systems tracing, feature flagging, and progressive deployment strategies - Knowledge of data engineering tools such as Spark, Databricks, or dbt - Experience using AI-assisted development and providing mentorship in engineering teams