Software Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Create, test, and implement high-caliber, scalable software solutions.

• Engage in technical discussions and play a role in system architecture decisions.

• Center system design on flexibility and long-term sustainability.

• Spearhead the design, implementation, and upkeep of production AI features, including RAG systems, vector search, LLM integrations, and autonomous agents.

• Utilize AI-assisted development tools while preserving code integrity.

• Work alongside product managers, designers, and engineers to convert user requirements into features and enhancements.

• Enhance application performance while ensuring security and reliability.

• Perform comprehensive code reviews.

• Identify and address technical challenges, offering solutions.

• Contribute to the ongoing enhancement of development processes.

• Assess and integrate emerging technologies, including LLM integrations and advancements in automated testing.

• Mentor the team on contemporary engineering best practices, TypeScript typing, and AI prompting for complex refactors.

• Collaborate with interdisciplinary teams to provide full-stack solutions.

• Report directly to the Sr Engineering Manager.

⛳️ Requirements

• Over 5 years of software engineering experience in developing scalable, enterprise-level applications.

• Experience in dynamic software startup environments where rapid shipping and iteration are crucial.

• Proven experience in launching and managing real-world AI features in a live product, including RAG, LLM integrations, vector search, or AI agents.

• Strong proficiency in JavaScript/TypeScript environments, particularly in the MEAN stack: MongoDB, Express, Angular, and Node.js.

• Proficiency with AI-assisted coding tools such as Cursor and Copilot.

• Familiarity with automated testing frameworks including Jest, Cypress, and Playwright.

• Experience with CI/CD pipelines and cloud infrastructure such as AWS, GCP, Azure, and Docker.

• Strong foundation in relational and NoSQL databases.

• Experience with vector search or search indexing, like MongoDB Atlas Vector Search.

• A security-first mindset for managing sensitive corporate information.

• Ability to articulate technical and AI trade-offs to non-technical stakeholders.

• Must be authorized to live and work full-time in Canada.

🏝️ Benefits

• A minimum of 3 weeks vacation.

• 5 sick days.

• 6 personal/flex days.

• Company-wide winter holiday shutdown.

• Comprehensive health, dental, and vision coverage.

• Long-term disability insurance.

• Health Spending Account (HSA).

• Flexible parental leave benefits, including top-ups.

• Dedicated work-from-home allowance.