AI Engineer, Agent Systems
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About the Role
AI Engineer, Agent Systems
Company: Salesforce Job ID: JR329631
Salesforce seeks a Lead AI Engineer for their AI Research Incubation Team to design and build production-grade AI agent systems that transform research into scalable platform capabilities.
Key Responsibilities
- Design AI agent systems including lifecycle management, orchestration, and execution control
- Develop scalable pipelines for tool invocation, agent planning, memory, and state management
- Collaborate with AI researchers to operationalize research outputs
- Define best practices for agent reliability, safety, observability, and cost control
- Lead API and service design for agent runtime and coordination
- Drive architectural decisions for agent frameworks
- Troubleshoot complex system-level issues
- Mentor engineers and provide technical leadership
Required Qualifications
- Bachelor's degree in Computer Science, Software Engineering, or related field
- 5+ years backend or distributed systems engineering experience
- Strong Python proficiency
- Production system experience with LLMs, AI services, or agent workflows
- Deep understanding of RESTful APIs and service-oriented architectures
- Cloud platform experience (AWS, GCP) and containerized environments (Docker, Kubernetes)
- Strong debugging skills across distributed systems
- Excellent cross-team collaboration abilities
Preferred Qualifications
- AI agent frameworks and orchestration systems experience
- RAG systems, vector databases, or memory architecture familiarity
- Safety guardrails and AI observability implementation
- Event-driven architecture and message queue exposure
- Research-adjacent environment experience
Compensation
- Standard: $172,500-$260,100
- SF/NYC metro: $207,800-$285,800
Location: Telecommute / Palo Alto, California Employment Type: Full-time
Benefits: Medical, dental, vision, mental health support, paid parental leave, life/disability insurance, 401(k), employee stock purchase program, and time-off programs.