Product Engineer

Sitetracker • Toronto, ON

69d

About The Position

Join Sitetracker as a Product Engineer and contribute to the future of enterprise software by harnessing cutting-edge AI. You'll bring strong technical skills to deliver high-quality software solutions, leveraging AI to increase development velocity and throughput. This is a unique opportunity to apply legitimate AI for commercial use, combining established engineering practices with a pioneering spirit to deliver impactful solutions.

As a Product Engineer, you will contribute to the technical design and implementation of our groundbreaking new AI harness solution. You will own features and components end-to-end, moving beyond traditional SaaS paradigms to help build highly scalable, high-throughput AI infrastructure.

This is a polyglot role. You'll need to understand product strategy, dig into user needs, and use that context to make smart decisions about what to build and how to build it.You're expected to absorb the problem space, prioritize effectively, uphold a high standard of engineering, and ship solutions that move the product forward. This role calls for someone who can break down challenges into iterative solutions, keep stakeholders informed, and find ways to unblock themselves. You will collaborate across teams to deliver scoped work and contribute to solving problems that enhance efficiency across the Engineering organization.

Requirements

• Strong technical skills.
• Ability to deliver high-quality software solutions.
• Leverage AI to increase development velocity and throughput.
• Apply AI for commercial use.
• Combine established engineering practices with a pioneering spirit.
• Contribute to technical design and implementation.
• Own features and components end-to-end.
• Build highly scalable, high-throughput AI infrastructure.
• Understand product strategy.
• Dig into user needs.
• Make smart decisions about what to build and how to build it.
• Absorb the problem space.
• Prioritize effectively.
• Uphold a high standard of engineering.
• Ship solutions that move the product forward.
• Break down challenges into iterative solutions.
• Keep stakeholders informed.
• Find ways to unblock themselves.
• Collaborate across teams.
• Deliver scoped work.
• Solve problems that enhance efficiency across the Engineering organization.
• Take ownership of features end-to-end, from implementation through testing and monitoring.
• Implement and deliver AI-driven product capabilities.
• Write clean, scalable, and efficient code.
• Work with Large Language Models (LLMs) and other AI components.
• Follow established security practices.
• Contribute to the design of fault-tolerant systems.
• Develop an understanding of customer challenges.
• Write thorough tests, including strategies for non-deterministic AI outputs.
• Follow established data privacy guardrails.
• Contribute to automated evaluation pipelines.
• Identify opportunities to improve existing AI harness applications.
• Actively participate in code reviews.
• Share knowledge with teammates.
• Seek and incorporate feedback.
• Contribute to engineering discussions.
• Help the team reach sound technical decisions.
• Communicate cross-team dependencies early.
• Adopt and champion emerging engineering standards for AI development.
• Clearly articulate technical decisions and trade-offs.
• Collaborate effectively across Product and Engineering teams.
• Communicate AI concepts in accessible terms.
• Share knowledge about the AI harness with teammates and stakeholders.
• Contribute ideas to the product roadmap.

Nice To Haves

• Guidance on architectural direction for AI-driven product capabilities.
• Support from senior engineers for first AI-driven product features.
• Increasing complexity in independently delivered AI-driven product features.
• Active participation in design discussions.
• Contribution to team best practices around secure and scalable AI development.
• Consistently deliver well-crafted, end-to-end AI-driven product capabilities.
• Serve as a reliable contributor who elevates team quality.
• Thoughtful code reviews.
• Knowledge sharing.

Responsibilities

• Contribute to the technical design and implementation of our AI harness solution.
• Own features and components end-to-end.
• Build highly scalable, high-throughput AI infrastructure.
• Understand product strategy and user needs to make informed decisions about development.
• Absorb the problem space, prioritize effectively, and uphold a high standard of engineering.
• Ship solutions that move the product forward.
• Break down challenges into iterative solutions.
• Keep stakeholders informed.
• Find ways to unblock themselves.
• Collaborate across teams to deliver scoped work.
• Contribute to solving problems that enhance efficiency across the Engineering organization.
• Take ownership of features end-to-end, from implementation through testing and monitoring.
• Implement and deliver AI-driven product capabilities with guidance on architectural direction.
• Write clean, scalable, and efficient code for our core AI harness.
• Work with Large Language Models (LLMs) and other AI components, following established security practices.
• Contribute to the design of fault-tolerant systems that orchestrate multiple AI agents.
• Develop an understanding of customer challenges and the value your team's AI solutions bring.
• Write thorough tests, including strategies for non-deterministic AI outputs.
• Follow established data privacy guardrails in all AI systems you build.
• Contribute to automated evaluation pipelines that assess AI output quality.
• Identify opportunities to improve existing AI harness applications and surface them to the team.
• Actively participate in code reviews and knowledge-sharing with teammates.
• Seek and incorporate feedback to continuously improve your own craft.
• Contribute to engineering discussions and help the team reach sound technical decisions.
• Communicate cross-team dependencies early to keep projects on track.
• Adopt and champion emerging engineering standards for AI development.
• Clearly articulate technical decisions and trade-offs.
• Collaborate effectively across Product and Engineering teams.
• Communicate AI concepts in accessible terms to both technical and non-technical audiences.
• Share knowledge about the AI harness with teammates and stakeholders.
• Contribute ideas to the product roadmap by staying current with emerging AI capabilities.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed