MLOps (LLM/Gen AI) Developer

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Tech

Full - Time

31-Jul-2026

MLOps Developer (LLM/Gen AI)

Research, innovation, and scale! ModiFace is the first tech company to be acquired by beauty giant L'Oréal and provides industry leading AR and AI technology to the most influential brands in the world. ModiFace's patented technology is based on more than a decade of advanced facial recognition research at the University of Toronto and in collaboration with L'Oréal's Research and Innovation team. Our services include live 3D makeup and skin care simulation, anti- aging/skin-care diagnostics, and live hair colour simulation.

In this critical role, you will work with bright and insightful minds, passionate professionals, and a welcoming community where your creative ideas are exceedingly valued.

What You'll Do

• Design and implement automated MLOps pipelines (data, preprocessing, training, tuning, deployment) for machine learning and LLM/VLM Generative AI with VLM models in cloud environments.
• Deploy and optimize deep learning and Generative AI models across web and mobile platforms for enhanced performance and efficiency.
• Integrate and build VLM/LLM-driven agentic workflows using existing services and APIs, embedding them into chat-based or autonomous interfaces.
• Develop and maintain modular, prompt-aware components with agent orchestration frameworks like LangChain.
• Implement advanced LLM techniques such as Retrieval-Augmented Generation (RAG), function calling, and memory-aware workflows to support sophisticated agent behaviors.
• Actively participate in code reviews, testing, and champion best software development practices.
• Collaborate cross-functionally with ML engineers, product teams, and other stakeholders to industrialize ML, Computer Vision, and LLM/VLM models and convert domain-specific APIs into LLM-controllable tools.
• Work within an agile framework, contributing to the delivery of high-quality products.
• Foster a culture of continuous learning, collaboration, and improvement within the team.
• Communicate complex technical and business concepts effectively to diverse audiences.

What You'll Need

• Bachelor's or Master's degree in Computer Science or a closely related technical field.
• 3+ years of experience as an ML/LLM/VLM Engineer in a cloud development environment.
• Profound understanding of Generative AI architectures and methodologies, including vectorization, context-based retrieval, and LLM/VLM operations.
• Demonstrated experience working in an agile/SCRUM development setting.
• Hands-on experience with orchestration frameworks (e.g., LangChain, CrewAI for developing multi-step agents.
• Aptitude for translating complex mathematical and scientific concepts into understandable terms for non-technical audiences.
• Exceptional communication and collaboration skills, with a passion for working in a global team environment.

Note: This is a Hybrid positions, you will need to commute to our downtown office minimum 2 days per week with possibility of 3 days per week.

Compensation

At ModiFace, we believe compensation should be transparent, fair, and reflective of both experience and impact. The Total Compensation for this role is $120,000 - $130,000. Compensation is determined based on skills, experience, and the scope and complexity of the role. We value open conversations about compensation and are happy to discuss our approach at any stage of the hiring process.

Our Perks

When you join ModiFace, you'll enjoy working with a team of passionate engineers and business professionals who are open and collaborative within an inclusive environment. We offer an opportunity to advance and refine your skills and talent.

Along with a competitive salary, we offer access to Health & Dental Benefits, including company-sponsored wellness & training programs, Worldwide Profit Sharing, RRSP matching, employee assistance programs, exciting in-office and off-site social activities, team lunches, a stocked kitchen, and more!

At ModiFace, we create software used by diverse people globally. We value

diversity and inclusion within our team to ensure we can deliver the fairest and

accessible technology possible, so we welcome and encourage all persons to

apply. Accommodations are available upon request for candidates taking part in all aspects of the selection process.

Apply now

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