AI Engineer, Agent Systems
Salesforce
🔍 Observed
71
Hiring Activity Score
Likely Active (65-79)
- Base score
- Just posted
- has location, quality description (7541 chars)
- 6 skills
- High confidence (90%)
- Direct ATS (workday)
California - Palo Alto
First seen 2 hours, 52 minutes ago
Last seen 2 hours, 52 minutes ago
Workday
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Try Direct Link (may be expired)Job Description
AI Summary
• Design and build production-grade AI agent systems including orchestration, lifecycle management, and runtime control, translating research into scalable platform capabilities
• Lead architectural decisions for agent frameworks while collaborating with AI researchers, platform engineers, and product teams to operationalize AI systems
• Requires 5+ years of backend/distributed systems engineering experience with strong Python proficiency and demonstrated success building production LLM or agent-based systems
• Must have expertise in cloud platforms (AWS/GCP), containerization (Docker/Kubernetes), RESTful APIs, and strong debugging skills across distributed systems
• Lead-level individual contributor role offering technical ownership, cross-team influence, and mentoring opportunities within Salesforce's AI Research Incubation Team focused on the Agentforce platform
Skills
go
kubernetes
aws
docker
rust
python
Quick Actions
Job Information
-
Company:
Salesforce -
Location:
California - Palo Alto -
Job Type:
Full-Time -
Experience Level:
Senior -
Source:
Workday -
Status:
Active
Activity Score
71
/100
Likely Active (71)
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