recruiting the next in tech
Toronto, Ontario
TekRek was founded on the simple vision of making recruitment as efficient as possible. Recruitment is one of the most important undertakings in building a successful business and we at TekRek understand this. That is why we believe in combining a data driven recruiting process with a human touch to engage and interact with the best candidates in the Technology space. Youtube: https://www.youtube.com/@tekrek/videos Meetup: https://www.meetup.com/tekrek-speaker-series/ TekRek's core areas of recruitment are Software Development and Data. Key roles include: - Director/Head of IT/CIO/CTO - Front-end Developer (ReactJS, AngularJS, HTML) - Back-end Developer (NodeJS, Java, C#, PHP, Python, RoR) - DevOps/Site Reliability (AWS Cloud, Micro-services) - Mobile Developer (iOS, Android) - Cloud Engineer (AWS, Azure, GCP) - CDO, SVP, VP, Director Data - Head of Data Science - Senior Data Scientist - Senior Machine Learning Engineer - Analytics Manager - Senior Data Engineer - Data Architect - Analytics Engineer - Data Analyst
On-site
Design, build, and deploy production generative AI solutions on Vertex AI, including evaluation frameworks, human review processes, monitoring, and safe rollback paths. Own live solutions operationally and work directly with business users to integrate AI with legacy systems and automations, test releases end to end, and confirm they meet business needs.
Hybrid · Montréal
Design and deliver scalable client data platforms from initial scoping and architecture through production, including high-volume batch and streaming pipelines for AI and machine learning workloads. Advise client stakeholders on technical roadmaps and architecture trade-offs, while ensuring data quality, reliability, monitoring, and effective data modeling.
On-site · Vancouver
Lead two engineering teams focused on agentic workflows and natural language product experiences. Drive the multi-quarter roadmap while building processes and standards to scale the engineering organization.
Remote · Canada
Partner with customers to translate operational workflows into reliable AI-powered processes and lead deployments from implementation to production. Collaborate with product and engineering teams to refine AI agents and improve overall deployment outcomes.
On-site · Toronto
You will analyze AI and LLM consumption to optimize token usage and implement cost-effective model routing logic. Additionally, you will develop frameworks for usage tracking, cost attribution, and FinOps controls across business entities.
