Product Engineer

The Opportunity 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. What You'll Do 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. The Skills You'll Have Technical Expertise & Implementation 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 Quality & Customer Focus 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 Collaboration & Growth 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 Communication 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 Within 90 Days, You'll You'll Ramp up on the team's architecture, codebase, and AI tooling. Contribute to your first AI-driven product features with support from senior engineers. Within 180 Days, You'll You'll Independently deliver AI-driven product features end-to-end, with increasing complexity. Actively participate in design discussions and contribute to team best practices around secure and scalable AI development. Within 365 Days, You'll You'll Consistently deliver well-crafted, end-to-end AI-driven product capabilities that contribute to increased velocity and throughput. Serve as a reliable contributor who elevates team quality through strong technical work, thoughtful code reviews, and knowledge sharing. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The Product Engineer will design and implement a scalable AI harness solution, owning features end-to-end from development to monitoring. They will collaborate across teams to build high-throughput AI infrastructure and integrate LLMs into commercial software.

Candidates must possess strong technical skills in software engineering and experience working with Large Language Models and AI components. The role requires the ability to translate product strategy into technical implementation while maintaining high standards for code quality and security.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• AI Infrastructure
• Large Language Models
• Software Engineering
• Technical Design
• System Architecture
• Testing and Monitoring
• Polyglot Programming
• Fault-Tolerant Systems
• Automated Evaluation Pipelines
• Data Privacy
• Code Review
• Product Strategy

• Software
• Technology
• Engineering
• Consulting
• Data & Analytics

Expérience minimale

2+ ans

Postuler avant le

6 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Not Applicable

Mode de candidature

La candidature directe est offerte