An innovative AI company is seeking a Principal-level AI Infrastructure Engineer to enhance their architecture and systems. The role involves reviewing current systems, designing scalable architectures, and supporting implementations. Applicants should have significant experience with LLM-agnostic systems and scalability under high loads. This position starts as a fractional advisory role with an opportunity to transition into a full-time position. Located in the Boston area for occasional meetings, this role offers a chance to significantly influence the company's technology direction.
Qualifications
Experience in building and scaling LLM-agnostic systems.
Strong background in API-heavy systems during production loads.
Expertise in token-efficient architecture design.
Responsibilities
Review and pressure-test current architecture.
Design next-generation scalable architecture.
Support implementation and guide technical decisions.
Skills
Built and scaled LLM-agnostic systems
Scaled AI or API-heavy systems
Experience operating at billion-token-per-day scale
Deep expertise in rate limits and batching
Designed token-efficient architectures
Worked with closed and open-model providers
Job description
An innovative AI company is seeking a Principal-level AI Infrastructure Engineer to enhance their architecture and systems. The role involves reviewing current systems, designing scalable architectures, and supporting implementations. Applicants should have significant experience with LLM-agnostic systems and scalability under high loads. This position starts as a fractional advisory role with an opportunity to transition into a full-time position. Located in the Boston area for occasional meetings, this role offers a chance to significantly influence the company's technology direction.