Senior AI Developer, Data at Workleap
Jobicy is hiring a Senior AI Developer, Data at Workleap for a remote role open to applicants in Canada. It pays $140k-$170k a year and Level rates it ; you can apply on Jobicy.
Source: Jobicy. Level lists this role from Jobicy; you apply on their page.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- This is listed as a remote role.
- The posting mentions OpenAI, Claude and AI agents among its tools and skills.
- Jobicy has 46 other open roles on Level.
- Posted in the last few days.
AI in this role
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 to do exactly that. 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? 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.
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.
#LI-Remote
How we rate this
Senior AI Developer, Data at Workleap at Jobicy rates 68 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through how you've used OpenAI in your day-to-day work.
- What are the limits of Claude that you've run into, and how did you work around them?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: AI agents, OpenAI, and Claude. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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