Technical Lead

3 days ago


Canada Apply Digital Full time

Get AI-powered advice on this job and more exclusive features. About Apply Digital Apply Digital is a global experience transformation partner. We drive AI-powered change and measurable impact across complex, multi-brand ecosystems. Leveraging expertise that spans across the customer experience lifecycle from strategy, design to engineering and beyond, we enable our clients to modernize their organizations and maximize value for their business and customers. Our 750+ team members have helped transform global companies like Kraft Heinz, NFL, Moderna, Lululemon, Dropbox, Atlassian, A+E Networks, and The Very Group. Apply Digital was founded in 2016 in Vancouver, Canada. In the past nine years, we have grown to ten cities across North America, South America, the UK, Europe, and India. At Apply Digital, we believe in the “ One Team ” approach, where we operate within a ’pod’ structure. Each pod brings together senior leadership, subject matter experts, and cross-functional skill sets, all working within a common tech and delivery framework. This structure is underpinned by well‑oiled scrum and sprint cadences, keeping teams in step to release often and retrospectives to ensure we progress toward the desired outcomes. Wherever we work in the world, we envision Apply Digital as a safe, empowered, respectful and fun community for people, every single day. Together, we work to embody our SHAPE values (smart, humble, active, positive, and excellent) and make Apply Digital a space for our team to connect, grow, and support each other to make a difference. Visit our Careers page to learn how we can unlock your potential. LOCATION: Apply Digital is hybrid/remote friendly. The preferred candidate should be based in Canada, working in hours that align to ET (Eastern Timezone) or PT (Pacific Timezone). THE ROLE: The Technical Lead is a key technical leader accountable for the successful construction and delivery of complex, innovation‑forward client projects. In this specific role, you will be spearheading our "Content Scaling" and "Brand Standards" initiatives, leveraging the next generation of AI‑driven workflows. Here is the truth: We do not expect you to be an AI expert today. We are looking for a Master of Engineering Fundamentals who is hungry to evolve. If you bring the battle‑tested experience to instinctively know "good architecture" from "bad code"—if you can look at a system design and immediately smell the bottlenecks— we will teach you the AI stack. Delivery & Execution Ownership: You are the engine of the team. You take high-level architectural blueprints and translate them into detailed, executable technical tasks for yourself and the team. You own the "how" of the implementation. Engineering Rigor & Quality: You bring order to the chaos of innovation. You ensure that the entire solution—from API design and data handling to security and integration—is built to production standards. You move us from "prototype" to "enterprise‑grade" with discipline. Learn & Implement AI Patterns: Transition from standard backend work to building next‑generation features. Under the guidance of the Principal engineer, you will implement: Agentic Workflows: Orchestrating LLMs for complex tasks. RAG Systems: Building pipelines for semantic search. GCP Integration: Leveraging Vertex AI. Team Leadership & Mentorship: Act as the primary mentor for your engineering team. Foster a culture of psychological safety where engineers feel comfortable experimenting with new AI tools while adhering to engineering rigour. Partnership: Work in a "two‑in‑a‑box" partnership with Solution Architects (when present) or directly with Client Stakeholders to manage scope, expectations, and technical reality. Proven Leadership: A significant track record (Staff/Lead level) of delivering complex software projects and mentoring teams. You have high autonomy and can take a vague goal and turn it into shipped software. Generalist "Chops": Deep proficiency in modern software development. You are comfortable across the full stack and understand how to integrate new technologies into existing architectures. A strong track record of Typescript and modern Javascript development is highly preferred. System Design Fundamentals: You understand queues, caching, database schemas, and API design. You know how to build systems that survive in production. Curiosity: You have a demonstrated interest in Generative AI and are hungry to make this your career focus. Comfort reading Python is a strong plus, as many AI reference architectures and research papers use it as the lingua franca, even if our production stack does not. Communication: Excellent English communication skills (written and verbal). You can explain technical concepts like trees and graphs to a non‑technical project manager as easily as you discuss architecture with a Solution Architect. Remote Collaboration: Experience working effectively with distributed teams across North America and LATAM time zones. The AI Upskill: A paid opportunity to learn the most in‑demand tech stack (GenAI, LLMs, Agents) while applying your existing backend expertise. Global Impact: Work on enterprise‑scale projects for major global brands. Seniority level: Mid‑Senior level Employment type: Full‑time Job function: Engineering and Information Technology Industries: Business Consulting and Services Apply Digital is committed to building a culture where differences are celebrated and everyone feels welcome. That’s why we value equal opportunity and nurture an inclusive workplace where our individual differences are recognized and valued. For more information, visit the Diversity, Equity, and Inclusion (DEI) section of our website. If you have accommodation needs at this stage of the recruitment process, please inform us as soon as possible by emailing us at We may use AI tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr



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