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Workleap

Senior AI Developer – Data

Workleap

. Design, build, and operate AI systems and agentic workflows connecting foundation models to data, tools, and applications .

Posted 10/27/2026full-timeRemote • CanadaSenior💰 CA$140,000 - CA$170,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in production engineering with a strong focus on Python and SQL, alongside hands-on experience in building and operating AI applications. Capable of driving architectural decisions while ensuring quality, security, and cost-effectiveness in AI systems.

Highest-signal resume keywords
Production Engineering in PythonProduction Engineering in SQLAI Application DevelopmentObservability and Regression TestingCloud Systems Operation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonSQLCI/CDTestingAI ApplicationsObservabilityRegression TestingArchitectural JudgmentComponent DevelopmentAI Services
Soft Skills
Builder MindsetCollaborationTechnical Direction
Tools & Technologies
SnowflakeAzureAWSGCPAI-Assisted Development Tools
Industry Keywords
Foundation ModelsAgentic WorkflowsData IntegrationGoverned DataProduction Quality

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformPythonSnowflakeSQL

About the role

Key responsibilities & impact
  • Design, build, and operate AI systems and agentic workflows connecting foundation models to data, tools, and applications
  • Ship production AI systems and agentic workflows delivering measurable value in products and internal operations
  • Own production quality, including observability, testing, security, and cost
  • Turn evaluation evidence from Data Scientists into engineering improvements
  • Engineer context integrations enabling agents to use governed data and application capabilities accurately
  • Define reusable patterns and components for future teams
  • Drive architecture decisions across quality, risk, and cost, making trade-offs explicit
  • Collaborate with Data Engineers, Data Scientists, Software Engineers, Product teams, and Platform and Security specialists
  • Set technical direction for production AI engineering

Requirements

What you’ll need
  • Strong production engineering in Python and SQL, with testing, CI/CD, and experience operating cloud systems
  • Hands-on experience building and operating AI applications with foundation models, agents, tools, and context
  • Experience instrumenting and evaluating non-deterministic systems: observability, evals, regression testing
  • Sound architectural judgment across reliability, security, and cost, and the confidence to form and defend a technical opinion
  • Experience building components or tooling that other developers adopt
  • Working knowledge of Snowflake and its AI capabilities (Cortex), or the ability to ramp up on them quickly
  • A builder mindset: you own what you ship, experiment quickly, and use AI-assisted development tools daily and critically
  • Bonus: AI services on Azure, AWS, or GCP, or developer platforms that accelerate AI adoption across teams

Benefits

Comp & perks
  • Annual bonus program
  • LTIP program, share in Workleap's long-term growth
  • RRSP
  • Family health insurance
  • Telemedicine
  • Annual wellness budget
  • Flexible vacation policy
  • Remote work, with access to our Montreal office
  • In-person gatherings twice a year
  • Claude access, for everyone