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indeed

Forward Deployed Engineer (Toronto)

LumApps
Toronto, CAN
Onsite
$160,000–$190,000
Discovered 1 weeks ago
Engineering and technical deploymentCustomer-facing technical workNode.jsTypeScriptJavaPython

Full Job Posting

About LumApps

LumApps describes its product as an AI-powered Employee Hub and collaborative experience platform integrated with Google and Microsoft suites.

Its platform supports employee communication, collaboration, engagement, onboarding, and access to workplace information.

LumApps reports more than 600 employees across 11 offices and serves large enterprises internationally.

The role

The Forward Deployed Engineer works at the intersection of engineering and customer impact on LumApps AI initiatives, including Micro-Apps and Agents.

The role deploys integrated AI solutions for strategic customers and contributes to reusable platform capabilities.

Candidates must be located in the Greater Toronto Area.

Missions

  • Embed with customers to map complex data environments and identify high-friction workflows, including HR onboarding and IT support.
  • Build proof-of-concept AI agents and integrations using APIs, webhooks, and LLMs within the LumApps ecosystem.
  • Architect middleware and custom connectors connecting LumApps with systems such as SAP, Workday, or ServiceNow.
  • Identify field integration patterns and share feedback with Core R&D.
  • Contribute code to improve the core platform and abstract custom solutions into scalable industry vertical packs.
  • Deploy live AI agents and integrations through rapid cycles while addressing technical constraints.

Skills and qualifications

  • Six or more years of engineering or technical deployment experience, including customer-facing work.
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field, with analytical thinking and software development ability.
  • Proficiency in Node.js, TypeScript, Java, or Python; comfort with frontend frameworks such as React and backend API design.
  • Interest in Generative AI, RAG architecture, AI frameworks, and agentic workflows.
  • Full professional proficiency in English.
  • Willingness to travel for regular on-site workshops with customers across North America.

Bonus skills

  • Direct customer consulting experience and designing high-value solutions are bonuses.
  • Scrum experience is a bonus.
  • Knowledge of enterprise identity frameworks such as OIDC, OAuth 2.0, or SAML is a bonus.
  • Bilingual professional fluency in English and French is a bonus.

Compensation

  • The stated salary range associated with the position is $160,000–$190,000 CAD; no pay cadence is specified.

Benefits

  • The posting lists paid leave, health insurance, a 401(k) retirement plan with employer match, family leave, team events, and a company laptop.

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