Lead Applied AI Engineer

What you'll do

• Architect, build, and optimize production AI systems, agents, and orchestration with safe, permission-aware boundaries.
• Extract specifications from existing applications and build semantic models, retrieval, and evaluation pipelines.
• Improve reliability, latency, and scale; use AI coding tools, mentor junior engineers, and share technical documentation.

What they ask for

• Bachelor of Science in Computer Science or a related technical/analytical discipline.
• Strong distributed-systems background, including retries, idempotency, partial failure, long-running tasks, and recovery.
• Strong software engineering, data-pipeline, and observability skills, with ability to own a production service end to end.
• Demonstrated use of AI coding assistants and ability to evaluate, coach others on, and selectively apply AI-generated code in production.

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 are also valued.

Pay

$150,000 — $300,000 USD base salary

Tools

AI coding assistants, Salesforce, ServiceNow

AI focus

Build AI agents and orchestration, extract specifications from existing systems, model application intelligence and retrieval, and develop rigorous LLM evaluation; use AI coding tools in production engineering.