AI Infrastructure & Product Engineer — Remote (US)

Jobgether; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Fully remote (US)

Competitive salary

Career growth

Technical impact

Cross-functional teamwork

Job summary

Jobgether is seeking an AI Infrastructure / Product Engineer in the United States to bridge AI research and production. You will design evaluation pipelines, develop production-grade AI features, and build scalable backend services and cloud infrastructure.

Collaboration with AI researchers and product teams is essential to deliver reliable, efficient AI-powered workflows. The role emphasizes turning experimental research into practical products, monitoring performance, and improving

Qualifications

• 3+ years of professional experience in software/infrastructure roles.
• Proficient in Python and deploying production software.
• Experience with cloud infrastructure and production systems.
• Experience building evaluation benchmarks or ML pipelines.
• Knowledge of backend services, APIs, databases, and tooling.
• Strong collaboration across AI, product, and engineering teams.

Responsibilities

• Design evaluation pipelines and benchmarks for AI systems.
• Develop production-ready AI-enabled features and services.
• Build and optimize backend services, APIs, and tools.
• Implement monitoring, observability, and reliability improvements.
• Collaborate with AI researchers and product teams to meet requirements.
• Translate research prototypes into scalable product features.
• Contribute to architecture decisions for AI infrastructure.

Skills

Python

Cloud infrastructure

Evaluation pipelines

Backend development

REST APIs

Problem solving

Cross-functional collaboration

Tools

FastAPI

Docker

React

Next.js

PostgreSQL

Job description

Jobgether is seeking an AI Infrastructure / Product Engineer in the United States to bridge AI research and production. You will design evaluation pipelines, develop production-grade AI features, and build scalable backend services and cloud infrastructure.

Collaboration with AI researchers and product teams is essential to deliver reliable, efficient AI-powered workflows. The role emphasizes turning experimental research into practical products, monitoring performance, and improving