Remote AI Infrastructure & Product Engineer

Jobgether; Oregon; Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Fully remote in the U.S.

Competitive salary

Career growth

Cross-functional collaboration

Job summary

Jobgether, listed on behalf of a partner company in the United States, seeks an AI Infrastructure / Product Engineer to bridge AI research and production. You will design evaluation frameworks, backend services, and scalable infrastructure to ensure accurate and efficient AI systems, with a focus on reliable, production-ready workflows.

Collaborate with AI researchers and product teams to implement retrieval, document automation, and agent-based workflows, while monitoring performance and

Qualifications

• At least 3 years of professional software/infra engineering experience building production systems.
• Strong Python development and deployment experience.
• Hands-on cloud infrastructure experience and production software operations.
• Experience building evaluation pipelines and ML/AI performance benchmarks.
• Familiarity with deployment pipelines, monitoring, and observability.

Responsibilities

• Design, build, and maintain evaluation benchmarks and pipelines for AI/ML systems.
• Develop and productionize AI-powered retrieval, document processing, drafting, and agent workflows.
• Create backend services, APIs, and tools to support AI testing and product releases.
• Collaborate with AI researchers and product teams to deploy models and features.

Skills

Python

Cloud infrastructure

Backend development

AI evaluation pipelines

Performance monitoring

REST APIs

Collaboration

Independent work

Tools

FastAPI

Docker

React

Next.js

PostgreSQL

Vector databases

Job description

Jobgether, listed on behalf of a partner company in the United States, seeks an AI Infrastructure / Product Engineer to bridge AI research and production. You will design evaluation frameworks, backend services, and scalable infrastructure to ensure accurate and efficient AI systems, with a focus on reliable, production-ready workflows.

Collaborate with AI researchers and product teams to implement retrieval, document automation, and agent-based workflows, while monitoring performance and