We are currently seeking a skilled and motivated AI Engineer to help design, build, and deploy GenAI and LLM-based solutions across our organization, primarily within the Microsoft and Azure ecosystem. In this role, you turn business challenges into production-ready AI applications, from prompt and retrieval design to evaluation, deployment, and monitoring. You work closely with stakeholders and engineering teams to deliver reliable, responsible, and high-impact AI solutions.
Design, develop, and deploy GenAI and LLM-based applications (e.g. assistants, retrieval-augmented generation, workflow automation)
Build solutions using Microsoft and Azure AI tooling (e.g. Copilot Studio, Azure AI Foundry, Azure OpenAI), with custom development where needed
Build robust prompting, retrieval, and evaluation pipelines with reproducible results
Integrate AI solutions with existing systems, data sources, and APIs
Define and track quality metrics (accuracy, latency, cost) and continuously improve solutions
Apply responsible-AI practices: safety, privacy, evaluation, and monitoring
Develop reusable components and tooling to accelerate AI development across teams
Collaborate with stakeholders to translate business needs into technical solutions
Contribute to deployment and operational practices for reliable AI services
Stay current with developments in GenAI, LLMs, and the broader AI ecosystem.