AI Applied Engineer (Business Solutions)
- Toronto, Canada
- Mid Level
- 5+ years
- Bachelor's degree
- Posted
Skills
Required
- automation
- Software Engineering
- Git
- API design
- data orchestration tools
- Airflow
- software deployment practices
- modern AI APIs and frameworks
- OpenAI/Anthropic APIs / LangChain / LlamaIndex / vector databases / agentic automation workflows
- Data Science
- Python
- SQL
Preferred
- AI
- automate processes
Join OpenTable as an AI Applied Engineer (Business Solutions) and make a tangible impact on the hospitality industry. In this role, you will build end-to-end AI-powered solutions, workflow automations, and intelligent data systems. You will work cross-functionally with strategy, sales, and operations teams to identify friction points and drive revenue and operational efficiency. This position requires excellent communication, strong analytical ability, and a resourceful problem-solver comfortable taking ownership of solutions from concept through deployment.
Responsibilities
- Identifying opportunities for AI-driven solutions to enhance business operations.
- Building, testing, and deploying custom AI applications to optimize daily operations.
- Connecting AI models and microservices with internal databases and third-party tools to automate processes.
Requirements
- Familiarity with Git, API design, data orchestration tools (e.g., Airflow or similar), and basic software deployment practices
- Hands-on experience with modern AI APIs and frameworks (OpenAI/Anthropic APIs, LangChain, LlamaIndex, vector databases, or agentic automation workflows)
- Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related quantitative field
- Ability to learn a business domain deeply, ask the right questions, and independently identify where AI or automation can create meaningful impact
- Excellent written and verbal communication skills, with a track record of working effectively across technical and non-technical teams
- Proactive, curious, and adaptable — willing to learn new technologies and take ownership of projects end-to-end
- 5+ years in software engineering, data engineering, or applied AI roles, with a track record of building tools or automations that solve real business problems
- Strong proficiency in Python (for building tools, API integrations, and data processing) and SQL (Snowflake or other relational/cloud data warehouses)