Lead Applied AI Engineer

What you'll do

• Architect, build, and optimize production AI systems, including reliable agents and orchestration.
• Develop application specification extraction, semantic and dependency models, retrieval, and evaluation pipelines.
• Improve enterprise-scale reliability, latency, and efficiency; mentor engineers and document technical expertise.

What they ask for

• Bachelor of Science in Computer Science or a related technical/analytical discipline.
• 7+ years of relevant software development experience with a BS, or 5+ years paired with a Master of Science in Computer Science or a related field.
• Strong distributed-systems background, including retries, idempotency, partial failure, long-running tasks, and recovery.
• Strong software engineering, data-pipeline, and observability skills; production-service ownership; demonstrated AI coding assistant experience; and exceptional technical communication.

Nice to have

• Expertise in code search, repository intelligence, or developer tools.
• Experience with legacy codebase and workflow modernization; enterprise platforms such as Salesforce or ServiceNow.

Pay

$150,000 — $300,000 USD base salary

Tools

AI coding tools, Salesforce, ServiceNow

AI focus

Builds production AI agents and orchestration, extracts specifications from existing systems, models application intelligence and retrieval, and creates LLM evaluation and CI pipelines.