AI Infrastructure / Product Engineer

USD 180K–260K / yearRemoteUS onlyMidSoftware engineering (general)

PythonFastAPIDockerReactNext.jsPostgreSQLLLMRAGPrototypingPerformance management

Original posting ↗Apply ↗Company job board ↗Follow new Python jobs in Telegram

Jobgether is hiring for the role of AI Infrastructure / Product Engineer. The role is remote, and the posting gives United States as the location. Our labels mark it as a mid-level role in software engineering (general). The posting names FastAPI, Docker, React, Next.js, PostgreSQL and LLM. It asks for 3+ years of experience. Jobgether has 2140 open positions on this site, 588 of them in IT and engineering.

Posted today · Last checked 2026-11-03

About Jobgether

Non-tech company with an IT team 2,140 open positions, 27% in IT and engineering. Most open roles: Marketing and communications (477), Software engineering (general) (419), Finance and legal (408).

All open jobs at Jobgether →

Similar jobs

Principal Reverse Engineering/Vulnerability Research Engineer Clarity Innovations · Remote USD 145.9K–248K / year Sr. Software Engineer - Investor SolutionsAddepar · Remote, USAUSD 134K–209K / year Senior Software Engineer, Partner IntegrationsHorizon3 AI · US, RemoteUSD 199K–235K / year Senior Staff Engineer - Agentictem · United KingdomGBP 117.8K / year Agent EngineerProfound · New York, New York | San Francisco, CaliforniaUSD 140K–200K / year L2 Support EngineerValtech · Argentina - RemoteRemote Engineering Manager - IAMAdyen · San FranciscoUSD 198K–293K / year AI Enablement EngineerDRW · Chicago, New York CityUSD 175K–225K / year

4,522 open software engineering (general) jobs in the United States 3,171 open remote software engineering (general) jobs All open jobs at Jobgether →

Workplace	Remote
Seniority	Mid
Role	Software engineering (general)
Countries	United States
Languages	Python
Employment type	Full-time
Key facts	Stack: Python, FastAPI, Docker, React, Next.js, PostgreSQL, LLM, RAG · Experience: 3+ years · Remote

The full description is on the original posting. Labels are set automatically and can be wrong. About the data