Principal Applied AI Engineer

What you'll do

• Architect, build, optimize, and ensure the reliability and scale of production LLM systems.
• Lead architecture, delivery, modernization, and engineering standards for complex AI-powered software.
• Coach engineers and influence technical decisions, practices, and documentation across teams.

What they ask for

• Bachelor of Science in Computer Science or a related technical/analytical discipline; equivalent experience is not accepted.
• 10+ years of relevant software development experience with a BS, or 8+ years with a Master of Science in Computer Science or a related field.
• Deep hands-on experience designing and operating production LLM systems, including code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability.
• Experience with AI coding assistants and high-volume, mission-critical production services; strong distributed-systems, API, security, reliability, and cross-team technical leadership skills.

Nice to have

• Experience with compilers, program analysis, formal or executable specifications, or legacy modernization.
• Experience with enterprise platforms such as Salesforce or ServiceNow.

Pay

$200,000 — $350,000 USD base salary

Tools

LLM systems, Salesforce, ServiceNow

AI focus

Design and operate production LLM systems for enterprise AI automation, covering code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability; use and evaluate AI coding assistants.