Senior AI Developer – Data

Job not on LinkedIn

🔥 22 minutes ago

🇨🇦 Canada – Remote

💵 $140k - $170k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Workleap

WebsiteLinkedInAll Job Openings

201 - 500 employees

👥 HR Tech

☁️ SaaS

⚡ Productivity

💰 Private Equity Round on 2023-06

HR Tech • SaaS • Productivity

Workleap is a company that provides an integrated platform designed to improve the employee experience by focusing on engagement, performance, and development. Their suite of products includes Officevibe, Pingboard, and various Learning Management Systems (LMS) that help businesses tackle challenges like hybrid work, onboarding, professional development, and performance management. Workleap aims to create happier and more productive workplaces by making it easier for HR teams to manage and enhance their HR strategies. With a customer base exceeding 20,000 leaders globally, Workleap offers tools that are easy to implement and integrate with existing HR and productivity systems.

📋 Description

• 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

• 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

• 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