Backend Engineer: AI Infrastructure & LLM Pipelines

Arbol; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

Arbol, a global climate risk coverage platform, is seeking a backend engineer to own the data infrastructure for production AI pipelines in New York City. You’ll manage ingestion, transformation, storage, retrieval, evaluation, and monitoring of our production LLM applications, ensuring reliability and performance at scale.

The ideal candidate has a strong quantitative background in math, statistics, or computer science and is comfortable owning systems end-to-end, moving quickly while

Qualifications

• Strong quantitative background in math, statistics, or computer science.
• Hands-on end-to-end systems ownership.
• Experience with production AI pipelines preferred.

Responsibilities

• Build the data infrastructure for our production AI pipelines.
• Own the full lifecycle of our production LLM applications: ingestion, transformation, storage, retrieval, evaluation, and monitoring.
• This is a hands-on role for an engineer that's comfortable owning systems end-to-end and can move quickly without sacrificing quality.

Skills

Quantitative background

Job description

Arbol, a global climate risk coverage platform, is seeking a backend engineer to own the data infrastructure for production AI pipelines in New York City. You’ll manage ingestion, transformation, storage, retrieval, evaluation, and monitoring of our production LLM applications, ensuring reliability and performance at scale.

The ideal candidate has a strong quantitative background in math, statistics, or computer science and is comfortable owning systems end-to-end, moving quickly while