Salesloft is building a Predictive Revenue System, enabling humans and AI to work together.
The Principal Engineer for AI sets the technical direction for how machine intelligence works across the platform.
Responsibilities
Set the technical architecture and direction for AI systems across the platform — model serving, LLM-powered features, agentic workflows, and infrastructure
Design production-grade systems that are reliable and observable despite non-deterministic AI components
Architect evaluation frameworks, guardrails, and quality systems for AI behavior
Lead the most complex AI engineering problems end to end
Establish engineering standards and best practices for AI-native systems, and mentor senior engineers
Evaluate and integrate advances in foundation models, agent frameworks, and the modern AI stack
Requirements
Extensive experience building and architecting production software systems at scale, with depth in AI/ML systems
Hands-on experience building production systems on top of LLMs or machine learning models
Deep expertise in distributed systems, model serving, and AI infrastructure
Proven experience designing evaluation frameworks, guardrails, or quality systems for AI features
Track record of setting technical architecture and standards across teams
Strong command of a major programming language (e.g., Python, Java, or Go) and modern cloud infrastructure (AWS or GCP)
Hands-on experience with agentic systems
Depth in the modern AI stack — RAG, vector stores, agent frameworks, model orchestration, or evaluation tooling