B2B companies hiring AI Engineers

B2B companies hiring ai engineers. Hiring AI engineers means a company is standing up or scaling machine-learning capabilities. That's when they evaluate vector databases, LLM eval and observability tools, data-labeling services, and GPU infrastructure.

5 companies · Last updated Sep 13, 2026

Artisan

artisan.coAI Investment

85/100

Job title: Staff AI Engineer - Agent Architecture & Behavior
Location: San Francisco
Posted: Sep 13, 2026
Detected: Sep 13, 2026

Likely buying intent

vector databaseeval toolsLLM observabilitydata labelingGPU infrastructure

Suggested outreach angle: Artisan is building AI capabilities — a prime time to introduce vector databases, eval/observability tooling, and data-labeling or GPU infrastructure.

Job source ↗Company page →Useful?

Metriport

metriport.comAI Investment

77/100

Job title: AI Engineer
Location: San Francisco
Posted: Jun 23, 2026
Detected: Jun 23, 2026

Likely buying intent

vector databaseeval toolsLLM observabilitydata labelingGPU infrastructure

Suggested outreach angle: Metriport is building AI capabilities — a prime time to introduce vector databases, eval/observability tooling, and data-labeling or GPU infrastructure.

Job source ↗Company page →Useful?

Artos

artosai.comAI Investment

77/100

Job title: Applied AI Engineer
Location: San Francisco
Posted: Jun 8, 2026
Detected: Jun 12, 2026

Likely buying intent

vector databaseeval toolsLLM observabilitydata labelingGPU infrastructure

Suggested outreach angle: Artos is building AI capabilities — a prime time to introduce vector databases, eval/observability tooling, and data-labeling or GPU infrastructure.

Job source ↗Company page →Useful?

Metriport

metriport.comAI Investment

77/100

Job title: AI Engineer
Location: San Francisco
Posted: Jun 23, 2026
Detected: Jun 12, 2026

Likely buying intent

vector databaseeval toolsLLM observabilitydata labelingGPU infrastructure

Suggested outreach angle: Metriport is building AI capabilities — a prime time to introduce vector databases, eval/observability tooling, and data-labeling or GPU infrastructure.

Job source ↗Company page →Useful?

Kastle

kastle.aiAI Investment

70/100

Job title: Staff AI Engineer
Location: San Francisco
Posted: Nov 22, 2025
Detected: Jun 12, 2026

Likely buying intent

vector databaseeval toolsLLM observabilitydata labelingGPU infrastructure

Suggested outreach angle: Kastle is building AI capabilities — a prime time to introduce vector databases, eval/observability tooling, and data-labeling or GPU infrastructure.

Job source ↗Company page →Useful?

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