Your roleAt Workleap, turning AI experiments into production capabilities is already part of how we build products and improve internal operations. Our Data team brings strong data engineering and science foundations; this role adds dedicated production AI engineering. As a Senior AI Developer, you'll design, build, and operate the AI systems and agentic workflows that connect foundation models to our data, tools, and applications, and you'll set the technical direction for how we do it well.
Your impact: - Ship production AI systems and agentic workflows that deliver measurable value in Workleap's products and internal operations.
- Own the production quality of those systems: observability, testing, security, and cost built in from the start.
- Turn evaluation evidence from Data Scientists into engineering improvements, so we know whether a system is getting better or worse.
- Engineer the context integrations that let agents use governed data and application capabilities accurately.
- Define reusable patterns and components so the next team starts from a working foundation, not a blank page.
- Drive architecture decisions across quality, risk, and cost, and make the trade-offs explicit.
Your teamYou'll join Workleap's
Shared Tech - Data team, a hands-on team of six Data Engineers and Data Scientists responsible for the data and AI foundations supporting our products and internal teams. We value
technical judgment, pragmatism, simplicity, autonomy, collaboration, and reliable delivery. You'll work closely with both disciplines and partner with Software Engineers, Product teams, and Platform and Security specialists to bring AI capabilities into production.
Over the next 6-12 months, you'll work on questions like: how does someone ask an analytical question of governed data and get an answer they can trust? How do we know an AI agent is good enough to take on more responsibility? How do we run AI features with the same rigor as any other critical system?
Our technology ecosystem includes
Python, SQL, Snowflake (Cortex, Cortex Agents, Cortex Code), Claude, OpenAI, Braintrust, OpenTelemetry, Terraform, and GitHub.
What you'll bring- 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.
Most of this sounds like you? Apply.
What the job comes with- Base salary: $140 000 - $170 000. This range reflects our Canada-wide compensation scale. Final offers may be adjusted based on the candidate's region to align with local market conditions.
- 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.
