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What You'll DoBuild production-grade AI applications (LLMs, agents, automation) that solve real business problemsDesign and deliver end-to-end solutions, from idea → MVP → scalable productLead the technical direction of AI initiatives, ensuring they are robust, secure, and maintainableIntegrate AI capabilities into existing enterprise systems (.NET / Azure ecosystem)Translate ambiguous business challenges into working software with measurable impactCollaborate with product, data, and domain experts to validate and scale high-value use casesEstablish best practices for AI engineering (prompting, evaluation, architecture, deployment)Contribute to a fast-moving innovation environment, while ensuring solutions can survive in production
What you bringExperience in startup-like environments is a strong plus5+ years in software engineering, including strong experience in .NET / C#Hands-on experience building AI solutions (LLMs, GenAI, or agentic systems) beyond experimentationExperience delivering end-to-end applications (API, backend, integrations, deployment)Solid understanding of cloud environments (preferably Azure) and modern architecture patternsAbility to move from vague idea → working product with minimal guidanceExperience integrating AI into real business workflowsExperience with vector databases, embeddings, RAG architecturesExposure to multi-agent systems or orchestration frameworksExperience with Docker / KubernetesFamiliarity with Python for AI workloads
Interested? Apply today!
myNEBIRU : Not into this role, but interested in what NEBIRU does? That's totally fine.Visit https://nebiru.be/mynebiru to see how we can support you - even outside our client missions. Let's build the bridge to your next step, together.