Staff AI Engineer
Canada (Remote)
At Robots & Pencils, we build meaningful, scalable digital products that solve real business problems.
We’re looking for a Staff AI Engineer to support the development and delivery of complex, integration-heavy platforms. This role is ideal for an experienced engineer who thrives in hands-on development, can confidently own features and deployments, and contributes to team leadership within a pod.
In this role, you will work as a key contributor on a cross-functional team, building across the stack while helping guide delivery, improve systems, and solve challenging integration problems, including AI-native platforms such as agentic learning systems designed to enable human-centered learning in the Age of AI.
This is not a greenfield project. You’ll be joining a mature, production environment with real users, where reliability, performance, and scalability are critical. You’ll collaborate closely with senior engineers to enhance existing systems and deliver high-quality features.
By joining us, you leverage our Advanced AWS Partnership and the highly exclusive AWS Patterns Partnership, a distinction held by only 11 companies worldwide out of 190,000.
What You’ll Do
Development
- Build and maintain backend services using Python and Node.js, including serverless architectures (e.g., AWS Lambda, API Gateway)
• Develop and integrate APIs that support frontend applications and external systems
• Contribute to frontend features and ensure smooth integration across the stack
• Write clean, maintainable, and well-tested code with strong unit testing practices
Workflow & System Orchestration
- Support the development and maintenance of workflows using orchestration tools (e.g., Sequencer / workflow engines, state machines)
• Contribute to event-driven processes and asynchronous system operations (e.g., SQS,EventBridge)
• Assist in improving reliability through better error handling and retries
Backend & API Engineering
- Develop RESTful APIs and supportthe BEarchitecture
• Integrate with third-party services and internal systems, including AI-driven platforms
• Assist in optimizing performance and scalability of services using DynamoDB single-table design patterns (composite keys, transactional writes)
• Implement secure and reliable data handling practices
System Reliability & Support
- Troubleshoot issues in production environments with guidance from senior team members
• Contribute to logging, monitoring, and debugging efforts
• Support deployment and release processes in cloud-native environments (AWS, Docker)
Collaboration & Growth
- Work closely with cross-functional teams across global locations
•Participate in code reviews and team discussions
• Take ownership of assigned features and tasks, delivering end-to-end solutions
• Continue developing technical skills and leveraging AI-assisted development tools (e.g., Claude Code)
Required Skills & Experience
- 6+years of professional software engineering
• Strong experience with Python and Node.js
• Experience with LLM function/tool calling, prompt engineering, multi-agent orchestration, vector databases (OpenSearch), embeddings, streaming LLM responses, RAG concepts. - Experience working withAWScloud environments, including Lambda, DynamoDB (and Single-Table design), S3, SQS, EventBridge, Step Functions, etc.
- Experience building and maintainingfullstack applications
• Exposure to workflow orchestration tools (e.g., Sequencer or similar systems)
• Solid understanding of API design and backend systems
• Familiarity with databases (SQL and/or NoSQL, including scalable design patterns)
• Experience working in production environments
• Strong unit testing practices and maintainable test strategies
• Experience with containerization (e.g., Docker)
Nice to Have
- Demonstrated ability to reason about system-wide impacts of changes, including downstream effects across services and data layers.
- Demonstrated ability to identify design gaps in requirements and raise them before they reach development.
- Experience with Langfuse, synthetic AI testing, token cost optimization, reasoning effort configuration, Step Functions for AI workflows.
