Senior Software Engineer (m/f/x)

About us The appliedAI Initiative elevates Europe’s industry to become shapers in the age of AI, creating a future that we desire to live in. Through our ecosystem of strong partners, comprehensive programs, services and solutions we advance companies holistically on their AI journey. With our uniquely diverse, interdisciplinary, and driven team, we build on deep technical expertise while specializing on applicability of the solutions. We share a mindset of collaboration and openness with our ecosystem of leading companies and tech players. Our common goal is to strengthen the European landscape, jointly creating unique knowledge for applying trustworthy AI. We believe that AI Agents will be the dominant topic for AI in the near future and that appliedAI with its partner ecosystem will impact how this technology is being used in industry and beyond in Europe. Your mission Most of what makes an AI solution survive contact with a large enterprise is not the AI. It is the engineering discipline around it, and that discipline is what you bring. You do not need to arrive as an AI expert - you arrive as someone who knows how professional software gets built, shipped, and kept alive, and you grow into the agentic side alongside a team that is already deep in it. In our Engineering team you set the bar for what production-ready means here. Your tasks will include: Designing the technical approach for a system slice, from build and test through deployment and operation, including the documentation and artefacts a third party needs to run it without us Shaping how we develop: issue workflows, branching and review standards, CI/CD pipelines, automated testing, security checks, and release management Building the classical software around the AI core - services and APIs, data pipelines, infrastructure as code, mostly in Python on Azure Making solutions operable in enterprise IT landscapes: observability, failure behaviour, security posture, and cost transparency Providing specialist guidance that shapes technical decisions across workstreams, and raising the engineering bar through design and code reviews Making technical trade-offs legible to senior client stakeholders - what a given architecture or operating model costs and enables Your profile 8+ years building software that went into production and stayed there, ideally shaped by a product organisation with real release discipline Deep working knowledge of the professional software development lifecycle: issue tracking and workflows (e.g. Jira), code review and development standards, CI/CD, automated testing, security scanning, versioning and releases Strong Python, confidence on Azure, and hands-on experience with containers and infrastructure as code Experience handing a system over to a separate operating team, or having operated one yourself long enough to know what that handover really demands Some exposure to GenAI or agentic systems and genuine curiosity to go deeper; deep AI expertise is explicit