Software Engineer- AI Tooling

About Mendix (a Siemens Company): At Mendix, we're on a mission to fundamentally reinvent how applications are created. We believe in abstracting the development process, empowering everyone involved in an enterprise's digital future – from business analysts to software engineers and even CEOs – to meaningfully participate. Our goal is to create better applications faster and shape the future of software development itself. Curious about the incredible solutions global organizations are building with our platform? Check out our Customer Stories! Join Our Innovative Team: Are you passionate about the cutting edge of technology and eager to make a real impact? We're looking for a talented Staff Software Engineer to join our dynamic team and help us build the future of Generative AI. In this role, you'll be instrumental in developing the tools, frameworks, and services that empower developers to create powerful solutions using Generative AI. Your work will span everything from tooling and evaluations to building solutions for accessing Large Language Model (LLM) providers. You'll directly influence the quality of our GenAI offerings and, in turn, enhance the lives of our customers and developers. Imagine a future where our AI tooling helps developers create higher-quality applications, faster – you'll be a key part of making that a reality!   You're the Engineer We're Looking For If You Have: Strong Programming Skills: Proficiency in Python or TypeScript, with a keen interest in frameworks and backend solutions. Operational Expertise: Experience in an operations role, preferably with hands-on experience in AWS and Kubernetes (K8s). Generative AI Knowledge: A genuine interest in and demonstrated knowledge of the modern AI landscape, including but not limited to Context Engineering, the full RAG (Retrieval Augmented Generation) lifecycle, and best MLOps practices. Passion for Technology: A deep passion for technology, coupled with strong problem-solving and analytical skills. Agile Mindset: The ability to break down complex challenges into manageable parts and construct solutions with short, iterative feedback cycles. Ownership & Collaboration: A strong sense of ownership over your work, a commitment to helping your team succeed, and a love for thriving in a collaborative environment where teamwork is celebrated.