Requirements
- 8+ years of software development experience, with recent hands-on work building LLM-powered features or products
- Practical experience with LLM orchestration, prompt engineering, and at least one agent framework or pattern (e.g., LangChain, LlamaIndex, CrewAI, custom implementations)
- Familiarity with RAG architectures, vector databases, embeddings, and retrieval strategies
- Experience integrating LLM APIs (OpenAI, Anthropic, etc.) into production applications—you understand token economics, latency tradeoffs, and how to build reliable AI systems
- Comfortable working across the stack; you can build the backend services, wire up the infrastructure, and collaborate on frontend integration
- Strong communication and collaboration skills, with a bias for clarity and action
Benefits
- Comprehensive Benefits
- Remote-First, Connected Culture
- Wellness and Growth
- Unlimited vacation, built on trust, clear expectations, and real support for taking time off
- Company RRSP program with employer-matched contributions
- Comprehensive health and dental benefits from day 1
- $750 annual Health & Wellness Allowance
- $1,000 annual Learning & Development Allowance to support your growth
- $500 annual Home Office Allowance to set up a productive remote workspace
- Sprout Family: personalized support for family-building and fertility journeys
- Inkblot: confidential, digital mental health support from licensed professionals
- Company-wide holiday closure in December
- Regular virtual company-wide events, lunches, and team socials to stay connected
Work Arrangement
Remote (Worldwide)
Team
Structure: remote-first team headquartered in Toronto, made up of curious, driven, and empathetic people
Additional Information
- We take a holistic approach to compensation, combining salary, bonus, equity, benefits, and flexibility. Our goal is to provide total rewards that support both your professional growth and personal well-being. The range above reflects our expected compensation for this role, based on current market data. Final offers may vary depending on factors such as location, skills, depth of experience, and relevant certifications. All compensation ranges are reviewed regularly and may evolve over time to reflect changes in the market.
- We believe in pay transparency, equity, and fairness. We benchmark compensation against similar-stage, high-growth SaaS companies in both Canada and the United States and review our salary bands regularly to ensure they remain competitive and aligned with market trends. Each role has a defined pay range based on its level, scope, and geographic location. Final offers are determined by several factors, including experience, demonstrated skills, and location, to ensure consistency and equity across our team.
