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Senior AI Developer, Agentic Systems

Workleap · Canada - Remote

Shape and build agentic AI systems for product development workflows (briefs, specs, design, launch), focusing on enabling agents to handle work with human oversight.

About 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, our engineering teams already ships more than twice as fast with AI. Now we're expanding beyond code to everything around it: briefs, specs, design, launch, and measurement. The idea is simple: agents do the work, and people make the calls. We've are rethinking how we build products and are exploring the technical possibilities, this is just the beginning. As a Senior AI Developer, you'll join us to shape and build this solution ensuring that we have solid technical foundation. Your impact: Ship the first production agents with our Product Managers, starting with brief creation and the ProductManager-to-design handoff, then extend to the rest of the product lifecycle. Shape the shared architecture and standards (orchestration, skills, memory, evals, guardrails) so that both our product lines are built on the same foundation. Own the production quality of these agents: observability, testing, security, and cost built in from the start, with human approval at every gate. Co-design with Product Managers: understand how they work, reuse what they've already automated, and ship small iterations they test and adopt. Measure what works: time saved, time from customer signal to shipped decision, and cost per agent and per feature, then cut what doesn't add value. Grow others: share your agent development practices so the team can build, run, and improve agents on their own. Your team Over the next 6 to 12 months, you'll work on questions like: how does an agent turn an idea into a brief that a Product Manager approves without rewriting it? How do specialized agents pass context without losing it or blowing up costs? How do we decide an agent is reliable enough to lighten a gate? The vision is set, and a proof of concept in Slack is underway: you're joining early enough to shape the architecture and turn this start into a production standard. You'll join the Product Ops team , a small team serving Product Manager across two product lines that already owns tracking, product data quality, and analytics. You'll work daily with this team, our AI-Software Development Life Cycle team, which already automates software delivery, and with our Product Managers working on both product lines. You'll also partner with the Senior AI Developer on our Data team to share patterns and tooling. We use AI every day, decide fast, and ship in iterations. Our technology ecosystem includes Claude (Claude Code, skills, Managed Agents, Design), MCP, Slack, Jira, Confluence, GitHub, Mixpanel, Snowflake, Azure, etc . What you'll bring Strong production engineering across the agent development lifecycle; Hand

The employer's own description, as posted on their site. Apply on Workleap's site ↗

ai · agenticsystems · python

Remote policy
fully-remote
Team
Product & Technology
Region
Worldwide
Posted
2026-10-28
First seen
2026-11-04
Last seen alive
2026-11-04
Last verified
2026-11-04
Verification
AI-verified
Board
greenhouse
Report expired / not remote

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