10 months ago
Toronto, CanadaSenior
Responsibilities
- Own and drive development of an AI-powered reliability assistant.
- Retrieve relevant context from observability tools, GitHub, deployment histories, past incidents, playbooks, and other disparate data sources.
- Develop LLM-powered features that transform raw data into actionable insights for incident response.
- Implement evaluation frameworks to measure AI performance in real-world production scenarios.
- Build and refine retrieval-augmented generation, agent, and AI-driven workflows.
- Collaborate with product and engineering teams to iterate quickly and ship features.
- Design systems that scale effectively as the product grows.
Requirements
- At least 5 years of backend engineering experience building and shipping complex, production-grade systems.
- Experience building AI-powered applications and experimenting with LLM agents.
- Understanding of prompt engineering, embeddings, and search.
- Deep familiarity with AI development frameworks and current practices for building intelligent agents.
- Experience evaluating AI systems in production and refining models and workflows.
- Passion for AI and reliability engineering and awareness of current AI research, trends, and technologies.
- Strong communication, product judgment, ownership, execution, and collaboration skills.
Benefits
- Competitive compensation and early equity in a fast-growing, venture-backed company.
- Comprehensive medical, dental, and vision coverage.
- Three weeks of vacation, unlimited sick and mental health days, and a company-wide end-of-year shutdown.
- $500 home-office setup stipend.
- Unlimited token usage and access to AI tools.
- Fast-moving, high-impact environment with substantial ownership and leadership opportunity.
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