<p><strong>Role Summary</strong></p> <p>Firmus Technologies is seeking an experienced AI Engineer to design, develop, implement and maintain the MLOps and AIOps foundations for Firmus AI Factory, our AI platform, to make it trustworthy, repeatable and scalable.
</p> <p>This is a pioneering role where you will establish the end-to-end MLOps workflows, turning model development into a disciplined software release process with clear governance, automated evaluation gates and reliable promotion to production.
</p> <p>You will also enable our Model Arena initiative by designing, developing and operationalising the evaluation pipelines and standards so model choices for RAG and agentic applications are data-driven, reproducible and production-safe.
</p> <p>You are also responsible for the design, testing, maintenance and reliability of Firmus AI Factory AI features, including training jobs, inference services and RAG systems.
You will define quality gates, model promotion workflows, production monitoring and incident response procedures.
</p> <p>Your role is to ensure AI platform features are engineered to be as trustworthy as core infrastructure — fast, reliable, maintainable and observable.
</p> <p>You will work across the team, partnering with engineers on CI/CD gates, data scientists on quality metrics, and operations teams on L2/L3 incident response.
</p> <p><br><strong>Key.