AI Engineer Jobs in San Jose, USA

Looking for an AI engineer job in San Jose? Choose from 40 open roles at 5 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.

40 Open roles
5 Companies hiring
โ€” Average salary

What do AI engineers in San Jose work on?

The titles and summaries point strongly toward platform and infrastructure work rather than standalone model research. Most postings, concentrated at Capital One, involve designing, developing, and deploying components for large-scale generative AI systems: foundation model training pipelines, LLM inference and optimisation, guardrails, and vector database integration. Agentic AI patterns and an internal platform layer called MLX appear repeatedly in Capital One's titles. A Senior Lead AI Engineer (LLM Gateway, FM Hosting) role focuses specifically on inference infrastructure, while the Senior Lead AI Engineer (GenAI Platform Services, Agentic) and Agentic Platform variant emphasise software components for a shared GenAI platform. The Senior Manager, AI Engineering posting adds people leadership and build-versus-buy decision-making. Figure and the other employers on the page are represented by fewer postings, and their focus areas are not fully captured in the sample summaries.

Skills and experience employers ask for

Python and PyTorch appear in the clear majority of postings, and cloud platforms AWS, GCP, and Azure are each mentioned in roughly two-thirds. Evaluation, A/B testing, and publications are also frequent mentions, suggesting roles that extend beyond prototyping into rigorous validation work. C++ and Java appear alongside Python in many descriptions. These counts reflect mentions in job descriptions across all postings on this page, not formal requirements, and the sample is small enough that one employer's volume can skew any figure noticeably.

Python 83%
Evaluation 75%
PyTorch 73%
Publications 73%
LLMs 70%
A/B testing 70%
AWS 68%
Master's degree 65%
GCP 63%
Azure 63%
C\+\+ 63%
Java 55%
Agents 35%
Computer vision 15%

San Jose office, hybrid or remote?

Every posting on this page is listed as on-site; none are stated as hybrid or remote. Several Capital One sample summaries name locations beyond San Jose โ€” Cambridge, McLean, and New York are mentioned in individual postings โ€” so candidates should check each listing for which office or offices a specific role is tied to. No postings state work-from-home eligibility. Whether any flexibility exists beyond what is advertised is not stated in these postings.

Make your application specific to the work

  1. Check the exact location Some postings name multiple office sites within the same listing, so confirm which specific location applies to you before starting an application.
  2. Review education and experience thresholds Capital One's postings state two distinct pathways โ€” a bachelor's degree with six years of AI/ML experience, or a master's degree with four years โ€” so match your profile to the stated combination rather than assuming one is sufficient.
  3. Prepare to show cloud and framework depth AWS, GCP, Azure, Python, and PyTorch appear across most postings, so be ready to discuss hands-on work with these tools at the level a production platform role would require.
  4. Note salary information is absent No advertised pay ranges appear in any posting on this page, so you may need to raise compensation expectations directly with recruiters during the process.

Questions about AI Engineer jobs in San Jose

Based on the postings on this page, all roles are listed as on-site. None are advertised as hybrid or remote.

Most postings on this page are at lead or senior lead level. There is one manager-level posting and a small number where seniority is not clearly stated. Entry-level or mid-level titles do not feature prominently in this set of postings.

Visa sponsorship is not mentioned in the sample summaries available on this page. You would need to check individual postings or contact each employer directly to find out.

The Capital One sample summaries state that candidates need either a bachelor's degree in computer science or a related field plus six years of AI/ML development experience, or a master's degree plus four years of experience, along with at least six years of programming in Python, Go, Scala, or Java.

None of the postings on this page include advertised salary ranges, so there is no pay information available here to compare.

Jobs checked 2 hours ago. ยท Guide reviewed 9 September 2026.