As of November 10, 2026, the median starting salary is $176,250 a year, measured on the 82 postings that publish an annual salary range in US dollars. Compare with AI salaries by field.
LLM jobs in San Jose: 136 open roles
Updated Nov 10, 2026
Live postings that name LLM in the job title or description, located in San Jose, United States. Each one is rated from Little AI to Builds AI for how much AI is in the daily work.
- open roles
- 136
- Build or work on AI (AI Level 3–4)
- 112
- remote
- 21
Median starting salary: $176,250.
AI level of LLM jobs in San Jose
- ●●●● Builds AI93 (68%)
- ●●●○ Works on AI19 (14%)
- ●●○○ Uses AI2 (1%)
- ●○○○ Little AI22 (16%)
Companies hiring for LLM in San Jose
LLM jobs in other cities
All jobs in other cities of United States
Roles that ask for it
Common questions
How much do LLM jobs in San Jose pay?
How much AI work do LLM jobs in San Jose involve?
As of November 10, 2026, of the 136 live postings: Builds AI ●●●●: 93 (68%); Works on AI ●●●○: 19 (14%); Uses AI ●●○○: 2 (1%); Little AI ●○○○: 22 (16%). See what each level means.
Which companies are hiring for LLM jobs in San Jose?
As of November 10, 2026, by number of live postings: Capital One (42), Adobe (21), SambaNova Systems (20), Cisco (18), Etched (10).
Which other cities have LLM jobs?
As of November 10, 2026, cities with their own list, by number of live postings: San Francisco (1,100+), New York (796), Seattle (394), Santa Clara (279), Mountain View (118).
Which skills come up most in LLM jobs in San Jose?
As of November 10, 2026, named in the title or description, with the number of postings that mention each: Python (90), Machine learning (73), AWS (66), PyTorch (60), AI agents (52).
Which roles are open in LLM jobs in San Jose?
As of November 10, 2026, by number of live postings: AI engineer (37), Software engineer (15), Machine learning engineer (12), AI product manager (7), Data scientist (3).
A posting counts when it names LLM in its title or description. Counted on live postings; the list refreshes every few hours. Levels follow our method.