IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. By joining our team, you will have the opportunity to be part of a general, diverse environment; As a Lead AI Engineer, you will design and build applied AI solutions that drive measurable business value from concept through scalable production deployment. Design and architect AI-powered systems using LLMs, RAG, agentic workflows, and orchestration patterns integrated with enterprise data and business processes
Develop secure, maintainable, production-ready software platforms and cloud-native services that orchestrate models, tools, retrieval systems, and enterprise workflows
Establish comprehensive evaluation, monitoring, and quality practices including testing, benchmarking, observability, and continuous improvement
Bachelor’s degree in computer science, Software Engineering, AI, Data Science, or a related field. Master's degree is advantageous.
8+ years of professional experience in AI, Machine Learning, and/or Software Engineering, backed by a proven track record of successfully delivered projects.
Experience bringing incubated AI solutions to production, including scoping, design, development, testing, deployment, and vigilant monitoring.
Strong programming skills one or more mainstream programming languages such as Python, Golang, C#or TypeScript.
Experience with context engineering, including retrieval architecture, embeddings, vector databases, search technologies, and retrieval optimization techniques.




Strong backend engineering fundamentals, including APIs, distributed services, cloud-native architectures, CI/CD, integration, automation, and security.
A solid background in DevOps and MLOps/LLMOps practices, and familiarity with tools to manage infrastructure as code, like Terraform and package managers like Helm Charts.
Ability to design solutions that integrate enterprise applications, business processes, workflows, and data platforms.
Experience designing and implementing AI-driven architectures using LLMs, retrieval-augmented generation (RAG), agentic workflows, orchestration patterns, and enterprise data sources.
Strong understanding of the AI system lifecycle, including evaluation, deployment, monitoring, governance, and continuous improvement.
Experience with MLOps lifecycles, deployment pipelines, model operations, and observability for AI systems is advantageous.
Kubernetes, Docker, Helm, Terraform and cloud-native deployments platforms.
Experience with enterprise software domains such as ERP, EAM, Service Management, Manufacturing, Supply Chain, or Field Service.
Contributions to open-source AI projects, technical communities, conferences, or publications.
Experience working with Microsoft Azure, AWS, or Google Cloud AI services.
Experience with enterprise software domains such as ERP, EAM, Service Management, Manufacturing, Supply Chain, or Field Service.
Contributions to open-source AI projects, technical communities, conferences, or publications.
Experience working with Microsoft Azure, AWS, or Google Cloud AI services.
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences.

📌 Lead AI Engineer. (Madrid)
🏢 Ifs
📍 Madrid