Staff Full Stack Engineer
About The Position
At Solink, our mission is to safeguard what matters most. We provide businesses with the tools to know sooner and act faster by transforming video security into real-time operational insights. Our cloud-based platform integrates seamlessly with your existing cameras and systems, turning them into intelligent sensors that detect and interpret key moments. This empowers teams to make data-driven decisions, enhance security, and improve operational efficiency. Trusted by over 30,000 locations across 32+ countries - including brands like McDonald’s and JYSK - Solink delivers clarity when it counts. Our solutions help businesses reduce shrink, optimize performance, and respond proactively to potential threats. We're growing rapidly, earning industry recognition, and scaling with purpose. We’ve been recognized by Deloitte’s Fast 50™ and Fast 500™, Business Intelligence Group, and as one of Ottawa’s Best Places to Work. And we’re just getting started! On a small, high-velocity Agents team with outsized impact, this role is for a Staff Full Stack Engineer who wants to define how AI agents operate in product at scale. You provide technical leadership for the systems that allow Solink’s AI Agents to reason, act, and deliver value inside our cloud VMS platform. This includes backend services (TypeScript/Node), agent orchestration frameworks, APIs, tool integrations, and user-facing workflows that transform AI into reliable, measurable customer outcomes. This is not a feature-factory role. You will work with other Staff and Senior engineers to help define and evolve the execution platform of our agent systems — tool use, workflow coordination, safety boundaries, latency management, and production reliability. This is a high-ownership role. You are expected to identify opportunities, drive initiatives from concept to production, make sound technical decisions amid ambiguity, and mentor other engineers while collaborating closely with product, data, platform, and leadership teams. You will have direct access to the latest AI models and tooling, with the autonomy to evaluate emerging technologies and apply them pragmatically where they create measurable product impact.
Requirements
- Extensive experience building and operating production systems with TypeScript and Node.js
- Experience integrating LLMs / VLMs into production workflows
- Deep experience designing distributed systems with strong understanding of reliability, scalability, fault tolerance, and operational excellence
- Experience architecting and operating cloud-native systems in AWS (EKS preferred)
- Experience instrumenting systems for observability and debugging (OpenTelemetry or similar)
- Track record of influencing architecture, engineering practices, and technical direction beyond a single team
- Ability to navigate ambiguity, make pragmatic tradeoffs, and drive execution from concept through production
- Experience mentoring senior engineers
- Candidates must undergo a criminal records check upon hire
- Be a Canadian Citizen (dual citizens included), or eligible to work in Canada
- Be willing to comply with Solink’s own security policies and standards
Nice To Haves
- Experience designing or leading development of AI agent platforms, orchestration frameworks, or tool-use systems
- Experience implementing AI safety controls, governance, and guardrails around model execution
- Experience designing event-driven, workflow-based, or distributed orchestration architectures
- Experience working in a small, high-velocity startup or AI-first environment
Responsibilities
- Aide in the definition and evolution of the architecture for Solink's agent platform and orchestration systems
- Design and implement production-grade agent services in TypeScript/Node
- Design scalable APIs and platform capabilities that enable teams across the organization to build on agent infrastructure
- Establish patterns and frameworks for integrating LLM/VLM systems with internal tools, permissions, and data sources
- Establish and enforce safety, guardrails, and failure handling in agent execution paths
- Optimize latency, reliability, and scalability of agent-facing services in AWS/EKS
- Drive observability strategy including tracing, debugging, performance analysis and operational metrics
- Mentor engineers, raise engineering standards, and partner with Staff team members to influence technical direction across teams
- Operate in tight feedback loops, shipping working code and validating ideas quickly
Benefits
- Meaningful equity: Every full-time, permanent employee has a stake in our growth.
- Comprehensive benefits: Fully paid health & dental (no waiting period) + $500 health spending account.
- Wellness support: Monthly reimbursement for fitness, wellness, or mental health programs.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
