United States

AI Infrastructure / Product Engineer

USD 180K–260K / yearOn-siteMidSoftware engineering (general)

PythonLLMRAGFastAPIDockerReactNext.jsPostgreSQLPrototyping

Original posting ↗Apply ↗Company job board ↗See this job in Telegram

Clera has an open position for AI Infrastructure / Product Engineer. The role is on-site in United States. Our labels mark it as a mid-level role in software engineering (general). The stack in the posting includes LLM, RAG, FastAPI, Docker, React and Next.js. It asks for 3+ years of experience. Visa sponsorship is not offered. Clera has 174 open positions on this site, 65 of them in IT and engineering.

Posted 2 days ago · Last checked 2026-10-28

About Clera

Non-tech company with an IT team 174 open positions, 37% in IT and engineering. Most open roles: Software engineering (general) (65), Sales (31), Marketing and communications (18).

All open jobs at Clera →

Similar jobs

Staff Software Engineer, Dashboard ProductStripe · Seattle Contract Software Development Engineer in Test - Subscription PlatformPlayStation Global · United States, Aliso Viejo, CAUSD 61.97–92.93 / hour Software Engineer, Robot Integration and TestSkild AI · San Mateo, CA Intern, RTL Power Macromodeling EngineerSamsung Semiconductor · San Jose, California, United StatesUSD 28–68 / hour Senior Software Engineer IRocket Lab Corporation · Long Beach, CAUSD 196.3K–233.7K / year Office EngineerLuster National · Baltimore, Maryland, United States; New York, New York, United States Senior Solutions EngineerAgility Robotics · Hybrid- Salem, ORUSD 149K–194K / year Research Engineer, Intern – BenchmarkingMercor · San FranciscoUSD 70 / hour

4,034 open software engineering (general) jobs in the United States All open jobs at Clera →

Workplace	On-site
Seniority	Mid
Role	Software engineering (general)
Countries	United States
Languages	Python
Employment type	FullTime
Key facts	Stack: Python, LLM, RAG, FastAPI, Docker, React, Next.js, PostgreSQL · Experience: 3+ years · Visa sponsorship: no

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