Senior AI Engineer at Workleap – CAD $170K + LTIP

Workleap; Montreal; Remote; CAD 140,000 - 170,000; Full time

Benefits offered by this job

LTIP program

Health insurance

Remote work (Canada-wide)

Job summary

Workleap, a Montreal-based SaaS company, is seeking a Senior AI Developer to turn AI experiments into production capabilities. You will design, build, and operate AI systems and agentic workflows that connect foundation models to data, tools, and applications — and you'll set the technical direction for how we do it well.

This is a high-leverage senior IC role with a small team and significant ownership. You’ll partner with product, platform, and security to deliver production-grade AI

Qualifications

• Strong production engineering in Python and SQL with testing and CI/CD.
• Experience building and operating AI applications with foundation models, agents, tools, and context.
• Experience instrumenting and evaluating non-deterministic systems: observability and evals.

Responsibilities

• Ship production AI systems and agentic workflows delivering measurable value.
• Own the production quality of those systems: observability, testing, security, and cost.
• Turn evaluation evidence from Data Scientists into engineering improvements.
• 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.
• Drive architecture decisions across quality, risk, and cost, and make the trade-offs explicit.

Skills

Python

SQL

Production engineering

AI applications

Observability

Foundation models

System architecture

Tools

Snowflake Cortex

Claude

OpenAI

Braintrust

OpenTelemetry

Terraform

GitHub

Job description

Senior AI Engineer at Workleap – CAD $170K + LTIP — Remote

This is a high-leverage senior IC role at a growth-stage Canadian SaaS company (~15,000 enterprise customers) where you would be the first dedicated production AI engineer on the team. That's a significant career opportunity — you'd define the patterns, tooling, and standards that the entire organization builds on.

Compensation context: CAD $140K–$170K base plus bonus and LTIP is competitive for a Senior AI/ML Engineer in Canada, particularly outside Toronto's hyper-competitive market. In Montreal specifically, this positions you in the top quartile. The LTIP is notable — Workleap has been an active acquirer and scaler, so long-term equity could be meaningful.

• Production agentic AI systems — one of the fastest-growing and most in-demand specializations in 2025.
• LLM evaluation frameworks (Braintrust), observability for non-deterministic systems, and RAG/context engineering.
• Snowflake Cortex AI — an enterprise-grade stack with strong market demand.
• Cross-functional technical leadership: partnering with product, platform, and security at a company with real revenue.

Green flags: Small team (6 people) means high ownership and visibility. Transparent hiring process. AI tooling (Claude) provided to all employees signals genuine AI-forward culture, not just marketing.

Watch for: "We move fast" and "ambiguity doesn't slow you down" language signals a high-intensity environment. The take-home case study step adds friction to the hiring process. Best suited for engineers who want to own end-to-end AI systems, not just experiment.

Company Description

Workleap is a Montreal-based tech company, founded in 2006. We're builders at heart — we make simple products that actually matter to the people who use them. We have two product lines: Workleap Agent , our newest solution built to make every manager more effective, and ShareGate , the world's leading solution for Microsoft 365 migration and governance. More than 15,000 companies worldwide trust us. We're intentional about who joins us. If you're the kind of person who gets excited by a hard problem and wants to help shape what comes next, there's a place for you here.

Your Role

At 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 Team

You'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?

What the Job Comes With

• Base salary: $140,000 – $170,000 CAD. 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.
• 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.

What Drives Us

At Workleap, we build software that sits at the center of how people experience work — every day, at every level.

We move fast. Priorities shift, decisions get made with the information we have, and we iterate. If you thrive on intensity and ambiguity doesn't slow you down, you'll feel right at home.
We're builders. We do what it takes to move forward. AI is part of our toolkit. We use it to go faster and decide smarter, not to replace judgment.

If you want real impact and a place where your decisions matter, this is it.

How We Hire

Transparency is how we hire — for you as much as for us.

Here's how it works: a first call with a recruiter, then a virtual interview with the hiring manager. You'll then complete a take-home case study, followed by a meet with future colleagues to discuss it together. Depending on the role, the process may vary slightly — your recruiter will walk you through it on your first call.

We use AI to support certain steps of the process, but every hiring decision remains human.

We can't wait to meet you.

By applying, you confirm that you have read and agree to our privacy policy .

Is this role truly remote or do I need to be in Montreal? The role is remote-first with access to the Montreal office, and the salary scale is Canada-wide. You can work from anywhere in Canada, with two in-person team gatherings per year. What is the salary range for this Senior AI Developer position? The base salary range is CAD $140,000–$170,000, adjusted for regional market conditions within Canada. The role also includes an annual bonus, an LTIP equity program, and additional benefits. What AI technologies will I work with day-to-day? The core stack includes Python, SQL, Snowflake (Cortex, Cortex Agents, Cortex Code), Claude, OpenAI, Braintrust for evaluations, OpenTelemetry, Terraform, and GitHub. What does the hiring process look like? The process includes a recruiter call, a virtual interview with the hiring manager, a take-home case study, and a meeting with future colleagues to discuss it. AI tools are used to support some steps, but all hiring decisions are made by humans. Do I need prior Snowflake Cortex experience to apply? Working knowledge of Snowflake and its Cortex AI capabilities is listed as a requirement, but Workleap states they are open to candidates who can ramp up on it quickly if they have strong adjacent experience.

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