Leads customer implementations of LLM and generative-AI systems from architecture through production, building full-stack solutions and improving model quality.
About this role
This role sits in the AI and Data Science organization within the Next-Generation Cloud Platform Development division. The team develops an AI platform on a sovereign cloud so that generative AI and AI solutions can be built, deployed, and operated securely and efficiently. Its scope includes LLM applications, AI agents, workflow automation, model evaluation, data integration, authentication and authorization, monitoring, and developer-facing platform components.
The engineer develops and introduces generative AI and LLM applications, validates technologies, creates prototypes, configures environments, and supports adoption for customers and business divisions. Individual requirements and successful patterns are converted into reusable platform components, APIs, SDKs, templates, documentation, and sample implementations. The role also covers deployment, logging, monitoring, CI/CD, LLMOps, MLOps, and DevOps automation. Applicants must have at least three years of team software development experience using Python and Git, experience developing a web or backend system using AI agents, and experience evaluating and implementing solutions using OSS, cloud services, and APIs. They must also have experience driving development while aligning requirements with customers or internal stakeholders.
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