About LeanScaper
LeanScaper is building the first and only AI platform designed specifically for the landscaping industry. By combining lean systems, smart technology, and a strong community of mentorship, LeanScaper is redefining how landscaping businesses scale profitably. Their tools help landscaping leaders run more efficient teams, optimize decision-making, and grow with clarity.
The company operates fully remote and serves a growing customer base across North America. With strong engineering leadership and a commitment to four-day workweeks, LeanScaper is proving that real-world impact and sustainable work culture can go hand in hand.
About the Role
LeanScaper is hiring a Lead AI Engineer in Canada to own the next phase of its AI platform. This person will lead design and development of agentic workflows, connect data sources to LLMs, and architect scalable systems behind a chat-based interface.
This is a generalist role with strong technical ownership. The Lead AI Engineer will collaborate directly with the VP of Engineering, ship production code within the first week, and contribute meaningfully within the first month.
Key Responsibilities
Architect and deploy agentic AI workflow
Own AI platform components including LLM integration, vector search, and fine-tuning
Build and scale data pipelines that support multi-tenant environments
Collaborate with product and leadership to define AI roadmap and capabilities
Research emerging AI technologies to improve relevance and performance
Establish technical best practices and mentor engineers across the team
Track and reduce LLM hallucinations; ensure data quality and observability
What They're Looking For
Experience shipping production AI products using LLMs
Strong knowledge of LLM orchestration tools (LangChain, LlamaIndex), vector databases (Pinecone, pg_vector), and evaluation platforms (LangSmith)
Proficiency in TypeScript and Node.js
Ability to own architecture decisions and deliver full-cycle features
Product mindset with a bias toward pragmatic, user-focused solutions
Cloud infrastructure experience, ideally with AWS
Bonus: Familiarity with React/Next.js is helpful but not required
The Stack
LLMs: OpenAI (primary), Anthropic, Gemini