Forward Deployed Engineer (Toronto)
Forward Deployed Engineer at LumApps (partnered with Beekeeper) based in the Greater Toronto Area, embedding with enterprise customers to rapidly build and deploy AI agents and micro-apps, and architect integrations connecting the LumApps employee-experience platform with systems like SAP, Workday, and ServiceNow using Node.js/TypeScript/Python and LLM/RAG tech.
- Compensation
- CA$160K–CA$190K / yr
- Location
- Austin, US
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 6+ years
- Category
- Solutions engineering
- Posted
Skills
Must have
- Located in the Greater Toronto Area
- 6+ years of engineering or technical deployment experience including customer-facing work
- Bachelor's degree in Computer Science, Engineering, or related technical field
- Strong bias for action; able to self-prioritize in ambiguous, fast-paced environments
- Proficiency in Node.js, TypeScript, Java or Python; comfortable with React and backend API design
- Passion for emerging tech: Generative AI, RAG architecture, AI frameworks, agentic workflows
- Full professional proficiency in English
- Willingness to travel for on-site customer workshops across North America
Nice to have
- Consultant mindset: experience working directly with customers and designing high-value solutions
- Experience working in Scrum/Agile environments
- Understanding of enterprise identity frameworks like OIDC, OAuth 2.0, or SAML
- Bilingual in English and French
Full description
LumApps is now more than just an Employee Experience Platform — it is an AI-powered Employee Hub that supports companies in their digital transformation of communication, collaboration, and engagement with their customers, partners, and above all their employees.
Our platform is a proven leader in this dynamic market with a truly unique vision and product. It has been deployed by Fortune 500 clients around the world and is delivering meaningful business benefits. LumApps is identified as a leader in Gartner's Magic Quadrant for Intranet Packaged Solutions as well as in Intranets Forrester Wave, and regularly selected for the French Tech Next40/120 program.
✨ In 2025, LumApps strengthened its leadership position by partnering with Beekeeper, a pioneer in frontline employee experience solutions. This strategic collaboration expands our reach and impact across all types of workers — from HQ to the frontline.
Our mission: To make people feel that they belong and have a purpose.
To create an environment where all employees are engaged and work together towards the same goal. Over 700 leading companies trust our solution to:
🎯 Improve the productivity of their teams with our AI-powered Collaborative Experience Platform integrated with both Google and Microsoft collaborative suites,
🎯 Transform employees into real ambassadors of their company,
🎯 Make employees more efficient and better connected to their peers and relevant information, regardless of their location, with the tools and information they need at their fingertips,
🎯 Help companies reduce turnover, accelerate employee onboarding, better collaborate and share knowledge, and even improve their customer experiences.
With a team of over 600 Lumies spread across 11 offices (Lyon, Paris, Lille, Sophia Antipolis, London, Barcelona, Hamburg, Austin, Tokyo, Zurich, Krakow), we support large enterprises all around the world. Over the past year, we have been driving an ambitious phase in our journey under the impulse of our new shareholder Bridgepoint, aimed at propelling us to become the clear leader in our market and shine worldwide in our industry. We are looking for individuals who are excited to actively participate in this transformation.
If these core values sound like you: "be bold, do amazing things", "say what you mean, do what you say", "one team, same mission", "always be evolving": **apply now!*The Enterprise AI Challenge***
While the market focuses on Generative AI prototypes, the true challenge for global enterprises lies in production and scale. Generic AI models often fail because they lack context and cannot securely access siloed enterprise data like ERPs, HRIS, or legacy systems.