Lead AI Engineer

Job Description

Job Description

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

Infra : AWS

Data : Llama-index, Pinecone, Postgres

Frontend : React, Next.js (bonus)

Benefits & Compensation

Fully remote

4-day workweek

Competitive salary + 5% annual bonus

Monthly wellness / health allowance

RRSP / 401(k) with company matching

Generous PTO policy

Professional development stipend