Design and build production-grade agentic workflows and LLM-powered applications for a media intelligence platform. Work across AI application layers (TypeScript, agent frameworks) and backend systems (Java, distributed data platforms).
Experience with agent frameworks such as LangChain or LangGraph
Prompt engineering and evaluation techniques
Designing multi-step workflows or orchestration systems
SQL and data modeling experience
Linux environments proficiency
Git and modern development workflows
Maven build tool experience
Distributed systems or big data platforms familiarity preferred
Design and implement end-to-end agentic workflows for real-world use cases
Build and deploy AI-driven agents with reasoning and multi-step orchestration
Develop application logic using TypeScript and modern AI frameworks
Leverage LangChain and LangGraph to build robust agent systems
Integrate with LLMs and external APIs
Design and implement RESTful services in Java to support AI capabilities
Define best practices for prompt design and agent reliability
Ensure observability and debugging of AI systems
Collaborate with product and design on scalable solutions
Optimize performance cost and reliability of AI workloads
Contribute to architectural decisions and technical direction
Mentor junior developers and contribute to team knowledge sharing
Fully remote work environment based in Canada
Collaborative culture with key enabling tools
Flex Fridays in Summer and week off between Christmas and New Years
No Internal Meetings Fridays
AI tools assist hiring but people make all final decisions
Encourages applications from all backgrounds even if not all requirements met
184,000 – 356,500 USD
/ year
168,000 – 304,750 USD
/ year
124,000 – 195,500 USD
/ year
135,482 – 227,700 USD
/ year
184,000 – 356,500 USD
/ year