Product Engineer

Sitetracker is a company focused on enterprise software solutions, and they are seeking a Product Engineer to contribute to their AI harness solution. The role involves technical design, implementation, and collaboration across teams to deliver scalable AI-driven software features.

Responsibilities:

• Contribute to the technical design and implementation of our groundbreaking new AI harness solution
• Own features and components end-to-end, moving beyond traditional SaaS paradigms to help build highly scalable, high-throughput AI infrastructure
• Understand product strategy, dig into user needs, and use that context to make smart decisions about what to build and how to build it
• Absorb the problem space, prioritize effectively, uphold a high standard of engineering, and ship solutions that move the product forward
• Break down challenges into iterative solutions, keep stakeholders informed, and find ways to unblock themselves
• Collaborate across teams to deliver scoped work and contribute to solving problems that enhance efficiency across the Engineering organization
• Take ownership of your 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 your 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