ShyftLabs

We design, prototype, and build enterprise-grade AI systems using technologies like LLMs, knowledge graphs, vector databases, and graph neural networks. Our focus is on knowledge-centric AI, graph-based learning, and Retrieval-Augmented Generation (RAG) architectures. We create AI platforms for Customer OS and Retail OS to enable intelligent search, reasoning, personalization, and document understanding at scale.

We also power crucial in-store retail experiences for major US clients. This involves end-to-end delivery of complex features, from architectural design and production rollout to post-launch support. Our work includes full-stack development with Python backends (FastAPI/Django) and React/React Native frontends. We also provision AWS infrastructure using Terraform and manage CI/CD pipelines.

We develop scalable AI-driven solutions using LLMs, OCR, and NLP to automate workflows, process complex datasets, and extract data. Specific applications include OCR pipelines, anomaly detection, and LLM-powered data extraction. We design and scale service-based systems with a focus on scalable, event-driven architectures. We work with Fortune 500 clients as a data and automation company.

We operate with a product-driven mindset, focusing on rapid learning, experimentation, and delivering measurable impact in large-scale enterprise deployments. We prioritize resilient, scalable, and secure retail technology platforms with strong Service Level Agreements (SLAs).

Our core principles include:

• Upholding global standards.
• Sharing knowledge and providing continuous mentorship to improve technical capabilities across teams.
• Encouraging our team to navigate ambiguity, propose structured solutions, and drive clarity and progress in our fast-moving startup environment.

We value strong technical strategy, cross-team coordination, and mentorship to accelerate impact for our clients.

We foster a culture of cross-functional collaboration, with teams working closely with engineering, product, business, and client stakeholders. Our environment supports mentorship and continuous skill development, helping teams grow their technical capabilities through knowledge sharing and adherence to global standards.

As a fast-moving startup, we take a product-driven approach. Working with experienced engineers and mentors is central to our commitment to professional growth.

We offer a hybrid work model, typically requiring 3-4 days per week in our downtown Toronto office. We provide comprehensive benefits, including 100% coverage for health, dental, and vision insurance premiums for employees and their dependents, effective from day one.

We support continuous learning with many learning and development resources. Employees can influence our technical direction and make a real impact, contributing to AI systems used by Fortune 500 companies. You’ll have the chance to shape applied research and AI strategy.

You’ll gain experience building data-driven products at scale and collaborate closely with experienced engineers and mentors.