We’re looking for a Full Stack Software Engineer who can build and ship modern web applications end-to-end: front-end, backend APIs, databases, deployments, and who also understands how to design systems that scale. You’ll be building production-ready services on Google Cloud Platform (GCP), integrating third-party APIs, and developing AI-enabled capabilities (LLMs/agents and computer vision) that deliver real value.

About Orchestrator AI Orchestrator AI is a forward-deployed AI engineering firm on a mission to bring true autonomous transformation to the backbone of the economy: Small-to-Medium Businesses, with a heavy focus on the Architecture, Engineering, and Construction (AEC) sectors. Our engineers embed directly inside our clients' operations for intensive 90-day sprints, building alongside their teams, deploying custom, action-oriented AI agents into their real-world workflows, and handing over the keys to an infrastructure they own forever. We believe in orchestration over isolation, building practical, high-impact tech that solves real operational friction. If you are tired of theoretical AI and want to build, ship, and scale production-grade systems that generate immediate, quantifiable impact, you belong here.

What you’ll do Build user-facing features using Next.js or modern JavaScript frameworks (React preferred). Design and implement backend services and RESTful APIs using Node.js, following REST best practices (versioning, pagination, auth, error handling, observability). Apply best practices for building scalable full-stack applications, including: clean architecture and modular codebases, performance optimization (frontend + backend), caching and efficient data access patterns, reliability practices (timeouts, retries, idempotency), monitoring, logging, and alerting Own database design: data modeling, schema design, indexing, query performance, and migrations. Work with ORMs (especially Prisma) and databases like PostgreSQL and MongoDB. Deploy and operate services on Google Cloud Platform (GCP) with a focus on reliability, scalability, and cost awareness, including: Cloud Run deployments Google Cloud Load Balancing (traffic routing, SSL/TLS, scaling considerations) API Gateway (secure exposure of services, routing, policies, auth) Collaborate on AI-driven features using Vertex AI and related tooling. Build workflows and integrations using n8n (automation, event-driven flows, webhooks, scheduling, retries). Read API documentation, integrate third-party services, and troubleshoot integration issues end-to-end. Use Postman extensively for API development and testing (collections, environments, auth flows, automated test scripts). Contribute to AI/ML functionality, including: practical understanding of LLMs and agent-based systems (tool use, function calling, RAG, evaluation), experience with computer vision workflows (data prep, inference pipelines, model integration), exposure to fine-tuning/training workflows (or partnering closely with ML engineers to productionize them) Write and maintain automated tests, with emphasis on end-to-end testing and quality gates in CI/CD. Work in an Agile environment using tools like Jira or Asana (planning, estimation, sprint execution, documentation).

Required qualifications Strong hands-on experience in full-stack development: Frontend: Next.js and/or React (or similar modern JS framework) Backend: Node.js with API design and implementation experience Demonstrated ability to design and build scalable full-stack applications (performance, reliability, maintainability). Solid understanding of REST APIs, security fundamentals, and integration patterns. Strong experience with Postman for API testing and development. Database expertise: schema design + hands-on work with PostgreSQL and/or MongoDB. Experience with Prisma (or similar ORM) and data modeling best practices. Experience deploying and operating production services on GCP, including: Cloud Run Google Cloud Load Balancer API Gateway Working knowledge of Vertex AI (or comparable ML platform) and how AI capabilities are integrated into applications. Working knowledge of n8n and building reliable automation workflows. Ability to read and implement against external API docs, integrate multiple services, and debug failures. Strong programming skills in TypeScript, JavaScript, and Python (must-have). Familiarity with Agile delivery and tools such as Jira/Asana. Strong testing mindset: unit/integration testing plus E2E testing (e.g., Playwright/Cypress/Selenium).

Nice to have Experience with authentication/authorization (OAuth2, JWT), rate-limiting, and API gateways. Observability experience (structured logging, tracing, metrics; OpenTelemetry, Cloud Logging, etc.). Experience with LLM evaluation, prompt/version management, RAG pipelines, vector databases, and safety/guardrails. CI/CD experience (GitHub Actions, GitLab CI, Cloud Build) and infrastructure-as-code (Terraform). Performance tuning across frontend, backend, and database layers.

How to Apply Please email your resume, an unofficial copy of your transcript, and a link to your GitHub/portfolio to apply@orchestrator.ca with the subject line: Software Engineer Application - [Your Name]. In your email, please include a brief (2–3 paragraph) note telling us about a production system, complex side-project, or workflow you built from scratch. Tell us what went right, what caught fire, and what you learned from it. If it's deployed, attach a link to it as well. A note to applicants: We are a forward-deployed team; we value velocity and pragmatism over "perfect" theoretical code. If your GitHub shows a history of shipping, we want to talk to you, even if you haven't mastered every single tool listed in our stack yet.

Job Types: Full-time, Part-time Work Location: In person Benefits: Casual dress Company events Dental care Extended health care On-site parking Paid time off Store discount Vision care Pay: $45,000.00-$60,000.00 per year