Backend Engineer — Build the AI Economics Platform

Harrison Clarke; Seattle (WA); On-site; USD 120,000 - 190,000; Full time

Job summary

Harrison Clarke in Seattle is seeking a Backend Engineer to build the systems powering an enterprise AI economics platform. You’ll design scalable services, expose APIs, and handle high-volume telemetry from GenAI applications, collaborating with a small, highly technical founding team.

You will own end-to-end delivery from design to production, tackle reliability and performance, and help shape the backend architecture in a fast-moving, early-stage environment.

Qualifications

• 3+ years of professional software engineering experience.
• Strong proficiency in Python, Go, Java, or another modern backend language.
• Strong understanding of distributed systems, APIs, databases, and system design.
• Experience building systems that process high volumes of data or events.
• Experience with cloud infrastructure and modern deployment practices.
• Strong understanding of reliability, observability, and performance considerations.
• Comfortable operating in an early-stage environment with significant autonomy.
• Ability to take ownership of ambiguous technical problems and drive them through to production.
• Strong communication skills and a pragmatic, product-oriented approach to engineering.

Responsibilities

• Design and build scalable backend services powering the core platform.
• Build APIs and services that process and expose AI usage, cost, performance, and business-impact data.
• Develop systems capable of handling high-volume, real-time telemetry from GenAI applications.
• Work with data pipelines and distributed systems to transform raw AI activity into actionable insights.
• Build integrations across AI models, cloud providers, agent frameworks, and enterprise technology platforms.
• Contribute to the architecture and technical direction of the backend platform.
• Design for reliability, scalability, performance, and observability from the outset.
• Work closely with product and engineering to turn ambiguous problems into simple, scalable solutions.
• Own projects end-to-end, from technical design through implementation, deployment, and iteration.
• Help establish engineering best practices as the team and product scale.

Skills

Python

Go

Java

Distributed systems

APIs

Databases

Cloud infrastructure

Observability

Reliability

Product-oriented

Job description

Harrison Clarke in Seattle is seeking a Backend Engineer to build the systems powering an enterprise AI economics platform. You’ll design scalable services, expose APIs, and handle high-volume telemetry from GenAI applications, collaborating with a small, highly technical founding team.

You will own end-to-end delivery from design to production, tackle reliability and performance, and help shape the backend architecture in a fast-moving, early-stage environment.