Senior Data Platform Developer (AI Platform)

TL;DR

Senior Data Platform Developer (AI Platform) (Python/Cloud/Generative AI): Building and maintaining internal machine learning and generative AI platforms that enable model development, LLM access, and production agent applications with an accent on platform infrastructure, data integration, and observability. Focus on scaling telematics-enriched big data pipelines, managing containerized production services, and designing logging, monitoring, and alerting for complex AI workloads.

Location: Oakville, Ontario, Canada; flexible hybrid work model with both in-person and virtual work supported. Home-based work requires a reliable internet connection with at least 50 Mbps download and 10 Mbps upload.

Salary: CAD 104,400–135,700 annually.

Company

hirify.global develops IoT, connected transportation, fleet management, telematics, and web-based analytics solutions.

What you will do

• Develop and maintain machine learning platforms, models, generative AI applications, and AI agents.
• Build logging, monitoring, and alerting services to maintain AI platform health.
• Enrich large-scale data with telematics data and support scalable data processing.
• Collaborate with data scientists and internal teams to design infrastructure and data integration solutions.
• Document platform architecture, requirements, and process flows.
• Support internal teams integrating newly developed AI platforms.

Requirements

• Degree in Computer Science, Software Engineering, Computer Engineering, or a related field.
• 3–5 years of experience in software development or a similar role.
• 3–5 years of experience building production systems with Python.
• 3–5 years of experience developing and maintaining production services on GCP, AWS, or Azure.
• 1–5 years of experience designing and maintaining containerized production applications using Docker, Kubernetes, or OpenShift.
• Knowledge of AI/ML platforms such as Ray, Vertex AI, and Bedrock, plus familiarity with Big Data environments such as Google BigQuery.

Nice to have

• Experience fine-tuning and self-hosting vision large language models.
• Knowledge of generative AI frameworks such as LangGraph, CrewAI, and LiteLLM.
• Experience with OpenSpec, Ralph, Agent Sandbox, or Sourcegraph.

Culture & Benefits

• Flexible hybrid work model with cloud-based collaboration tools and asynchronous working.
• Home office reimbursement program.
• Medical and dental benefits, retirement savings program, and parental leave top-up.
• Online learning and networking opportunities.
• Electric vehicle purchase incentive program.
• Work-life balance initiatives and an inclusive, diverse workplace.