[Remote] Principal Software Engineer, AI

Note: The job is a remote job and is open to candidates in USA. Salesloft is hiring a Principal Software Engineer, AI to set technical direction for AI systems across its Predictive Revenue System. The role architects scalable model serving, LLM-powered features, agentic workflows, evaluation frameworks, and production infrastructure while establishing engineering standards and mentoring senior engineers.

Responsibilities

• Set the technical architecture and direction for AI systems across the platform — model serving, LLM-powered features, agentic workflows, and the infrastructure beneath them
• Design production-grade systems that are reliable and observable despite being built on non-deterministic, probabilistic AI components
• Architect evaluation frameworks, guardrails, and quality systems that make AI behavior safe, measurable, and trustworthy at enterprise scale
• Lead the most complex AI engineering problems end to end — from research-adjacent prototyping through hardened production delivery
• Establish engineering standards and best practices for building AI-native systems, and mentor senior engineers across the org
• Keep the platform at the frontier by evaluating and integrating advances in foundation models, agent frameworks, and the modern AI stack

Skills

• Extensive experience building and architecting production software systems at scale, with significant depth in AI/ML systems
• Hands-on experience building production systems on top of LLMs or machine learning models — including designing for the challenges of non-deterministic behavior
• Deep expertise in distributed systems, model serving, and the infrastructure required to run AI reliably at scale
• Proven experience designing evaluation frameworks, guardrails, or quality systems for AI-driven features
• A track record of setting technical architecture and standards across teams and mentoring senior engineers
• 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 — designing and hardening AI agents that take autonomous action in production
• Depth in the modern AI stack — retrieval-augmented generation, vector stores, agent frameworks, model orchestration, or evaluation tooling

Benefits

• The total compensation package for this position may also include performance bonus.

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