San Francisco Office

Backend/AI Engineer

USD 200K–300K / yearMidData and machine learning

PythonLLMFinancial reporting

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

Reducto, a software company in developer tools and infrastructure, has an open position for Backend/AI Engineer. The job is based in San Francisco, United States. Our labels mark it as a mid-level role in data and machine learning. The stack in the posting includes LLM and Python. It asks for 2+ years of experience. Perks named in the posting: unlimited PTO. Reducto has 9 open positions on this site, 9 of them in IT and engineering.

Posted today · Last checked 2026-11-03

About Reducto

Developer tools and infrastructure Software product company 9 open positions, 100% in IT and engineering. Most open roles: Data and machine learning (4), Software engineering (general) (4), DevOps / SRE / platform / cloud (1).

All open jobs at Reducto →

Similar jobs

Data EngineerStuut · San Francisco | New York CityUSD 150K–200K / year Senior Data Scientist, PlatformCoinbase · Remote - USARemote Senior Software Engineer (Machine Learning) - Economy MLRoblox · San Mateo, CA, United StatesUSD 243.3K–295.2K / year Head of Data Science, Strategic FinanceOpenAI · San FranciscoUSD 459K–536K / year Sr. AI Engineer (Full Stack)Peloton · New York, New YorkHybrid Staff Software Engineer ML Platform (6244)Shield AI · San Diego, California | San Mateo, CaliforniaOn-site Senior Analytics Engineer, People Data and InsightsThe New York Times · New York, NYUSD 160K–185K / year Software and AI EngineerCoreWeave · Livingston, NJ / New York, NY / Sunnyvale, CA / San Francisco, CA / Bellevue, WAUSD 153K–204K / year

1,197 open data and machine learning jobs in the United States All open jobs at Reducto →

Workplace	Workplace not stated
Seniority	Mid
Role	Data and machine learning
Countries	United States
Languages	Python
Employment type	FullTime
Key facts	Stack: Python, LLM · Experience: 2+ years · Unlimited PTO

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