Armilla AI is a cutting-edge startup based in Toronto, Ontario, Canada, operating at the intersection of artificial intelligence and insurance. We're not just talking about AI risk; we're actively building the solutions to manage, underwrite, and insure it. Our dynamic team is passionate about pioneering the future of AI risk management through the development of sophisticated AI-powered tools and programmatic evaluation platforms.

The Role: Building & Evaluating AI Solutions AI Engineer building our core AI-powered tools programmatic platforms to rigorously evaluate AI systems . If you're passionate about applying robust engineering principles to AI, creating end-to-end solutions, and building systems for comprehensive AI assessment, we want to talk to you.

Collaborate with senior AI/ML Scientists and Product Managers to design, build and maintain an adversarial AI evaluation platform.

strong engineering skills, product development experience, and AI/ML process-flow programmatic platforms for evaluating AI models , assessing their performance, robustness, and potential risks.

AI pipelines , ensuring efficient data flow, model training, inference, and evaluation processes.

software engineering best practices to machine learning (ML) projects, including version control, automated testing, code reviews, and continuous integration/continuous deployment (CI/CD).

UI/UX components to ensure seamless and intuitive user experiences for both our internal tools and evaluation platforms.

Deploy and manage AI applications and evaluation infrastructures on various like AWS, GCP, or Azure, ensuring scalability, reliability, and security.

Collaborate closely with data scientists, actuaries,



and product managers to translate complex requirements into robust technical solutions for both building and evaluating AI.

Troubleshoot, debug, and optimize existing AI systems to improve performance and stability.

with a proven track record in software development.

Solid understanding of AI model lifecycle AI model evaluations knowledge of AI pipelines and experience in building, managing, and optimizing them for both product development and evaluation.

software engineering best practices to ML projects .

end-to-end software stacks , including front-end (UI/UX) and back-end development.

deployment and management on major Cloud Service Providers (CSPs) such as AWS, GCP, or Azure.

Strong programming skills in languages like Python .

Experience with relevant AI/ML frameworks and libraries (e.g., Exceptional problem-solving abilities and a commitment to producing high-quality, maintainable code.

You'll have a significant impact on our core products and infrastructure, shaping how AI risks are understood and managed globally.

Diverse Technical Challenges: You'll work on both developing cutting-edge AI tools and building sophisticated systems for AI evaluation.

This role offers immense opportunities for personal and career development in the burgeoning field of AI risk.

You'll have access to your choice of leading AI models (e.g., Ready to help us build and evaluate the future of AI risk solutions? If you're an experienced AI Engineer passionate about robust software and cutting-edge technology, we encourage you to apply! Please submit your resume and a cover letter outlining your relevant experience and why you're a great fit for Armilla AI #

📌 AI Engineer (Remote) (Toronto)
🏢 Armilla AI
📍 Toronto