AI Engineer, Agent Systems

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.