Staff AI Developer (Ruby on Rails, Python)

TL;DR

Staff AI Developer (Ruby on Rails, Python): Shaping the technical direction of a grant research platform with an accent on AI-driven ingestion workflows and high-scale background processing. Focus on designing core platform architecture, implementing LLM orchestration, and optimizing data discovery systems.

Location: Hybrid in Oakville, ON

Salary: $165,000 - $200,000

Company

A leading provider of purpose-built, cloud-based software designed to streamline procurement, budgeting, payments, and grants management for public sector and government organizations.

What you will do

• Partner with Product to translate roadmap priorities into technical designs, implementation plans, and delivery strategies.
• Design and implement features across application, data, and infrastructure layers.
• Own and evolve core platform architecture across both Ruby on Rails and Python systems.
• Build and optimize high-scale background processing systems for notifications, scoring, ingestion, and exports.
• Implement AI-powered features including LLM orchestration, prompt workflows, and observability controls.
• Collaborate with Engineering, Product, Customer Success, and Support teams to continuously improve the platform.

Requirements

• Proven experience as a Senior or Staff-level engineer building production SaaS or data platforms.
• Deep expertise in Ruby on Rails and strong hands-on experience with Python (FastAPI preferred).
• Strong background in background processing systems (e.g., Sidekiq, Redis, queues) and PostgreSQL schema design.
• Experience with search and discovery systems, including full-text, semantic, and vector search.
• A demonstrated AI-first development approach, using LLMs and automation tools.
• Must be based in or able to work hybrid in Oakville, ON.

Nice to have

• Experience with enterprise or government-adjacent applications focusing on compliance, auditability, and security.
• Familiarity with modern Rails frontend patterns such as Hotwire, Turbo, Stimulus, and Tailwind.
• Hands-on experience with LLM tools (OpenAI, Anthropic), embeddings, or vector databases.
• Experience with observability tools like Sentry, New Relic, or Honeybadger.

Culture & Benefits

• Competitive wages with an expected honest 40-hour work week.
• Wellness days provided twice a year for extended long weekends.
• Flexible workday tailored to individual employee and role requirements.
• Comprehensive health and dental benefits package.
• Active culture committee and community engagement opportunities to give back to local communities.