Salary
💰 CA$113,000 - CA$125,000 per year
Tech Stack
AWSAzureBigQueryCloudDockerETLFlaskGoogle Cloud PlatformGraphQLJavaScriptNode.jsPythonSQLTableau
About the role
- Create AI tools that understand and respond to natural-language questions to provide insights, warnings, and reports
- Design and operate integrations across internal systems and third-party SaaS (REST/GraphQL APIs, webhooks, OAuth, JWT) with reliability considerations (rate limits, retries, idempotency)
- Develop and orchestrate multi-step AI workflows using frameworks like LangChain or LangGraph, including human-in-the-loop approvals
- Ensure AI safety and reliability via guardrails, evaluation frameworks, fallback logic, RBAC, audit trails, and PII protections
- Build and maintain data pipelines (SQL, Python, dbt) that power AI agents with reliability, observability, and performance
- Create lightweight UIs and self-serve experiences (Slack apps, low-code internal tools) for non-technical users
- Collaborate with Sales, Partnerships, Product, Engineering, and Data Science to select projects, prototype quickly, and operationalize solutions
- Apply DevOps and monitoring best practices: CI/CD, automated testing, observability, and incident response guides
- Enforce security and compliance best practices across automations and data workflows
Requirements
- 2–4 years experience in AI, automation, data engineering, or analytics engineering
- Proficiency in SQL and Python; experience building and operating ETL/ELT pipelines
- Experience designing and consuming APIs/webhooks and building services (FastAPI, Flask, or Node.js)
- Exposure to dbt and modern cloud data warehouses (Snowflake, BigQuery)
- Experience incorporating AI/LLMs into workflows, including prompt design, data retrieval, evaluation, and human oversight
- Familiarity with Git, CI/CD, automated testing, and event-driven systems (queues, pub/sub, webhooks)
- Strong communication skills: able to translate complex business processes into scalable automations
- Experience with at least one data visualization tool (Tableau, Mode, Power BI, Looker, or similar)
- Hands-on experience with workflow automation and low-code development platforms (Zapier, n8n, Gumloop, Superblocks)
- Preferred: built AI tools adopted by non-technical users; experience with LangChain, LangGraph, or MCP; exposure to vector search/RAG and evaluation frameworks (Ragas, DeepEval); Slack app development; API tooling (OpenAPI/Swagger, Postman); cloud platforms (AWS, GCP, Azure); Docker and infrastructure-as-code; business tool integrations (Salesforce, Slack, Google Workspace, Jira/Linear); experience in e-commerce/retail analytics/ad tech