If you're excited about a fast-paced, dynamic environment where strategy is set but flexibility to grow with the market remains, thenWe have a bold vision: to become the integral standard for core software solutions in the insurance industry. Our aim is to achieve this by developing a truly cloud-native solution that can scale limitlessly—and we want you to be part of that journey. Our values—Trust,Openness,Passion,Innovation, andCare—serve as our guiding compass. OpportunityWe are looking for a highly motivated and experienced AI Engineering Lead to join our growing AI Engineering team. This is primarily a hands-on engineering role with technical leadership responsibilities. You will help lead one AI Engineering team through technical execution, mentoring, and engineering best practices, while remaining deeply involved in implementation and solution delivery.
You will work closely with Product Managers, Architects and engineering teams to build scalable and reliable AI capabilities that deliver measurable business value in real enterprise environments.




Your responsibilitiesDesign, build, and maintain production-ready AI solutions using modern LLM and agentic AI technologiesDevelop AI workflows, orchestration layers, RAG pipelines, and AI automation capabilitiesBuild scalable and maintainable AI services, APIs, and integrations using Python and modern backend engineering practicesPrototype, iterate, and productionize AI capabilities in a fast-moving and experimental environmentImplement prompt engineering, context management, tool usage, and structured AI output strategiesDevelop evaluation, validation, testing, monitoring, and feedback mechanisms to ensure AI reliability and quality in productionContribute to AI governance, observability, security, and operational best practicesCollaborate closely with Architects to align AI solutions with the broader platform architecture and engineering standardsWork closely with Product Managers and stakeholders to translate busin

📌 AI Engineering Lead (Madrid)
🏢 Fadata Group
📍 Madrid