Backend Engineer - AI Infrastructure

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 is a global climate risk coverage platform and FinTech company offering full-service solutions for any business looking to analyze and mitigate exposure to climate risk. Arbol's products offer parametric coverage which pays out based on objective data triggers rather than subjective assessment of loss. Arbol's key differentiator versus traditional InsurTech or climate analytics platforms is the complete ecosystem it has built to address climate risk. This ecosystem includes a massive climate data infrastructure, scalable product development, automated, instant pricing using an artificial intelligence underwriter, blockchain-powered operational efficiencies, and non-traditional risk capacity bringing capital from non-insurance sources. By combining all these factors, Arbol brings scale, transparency, and efficiency to parametric coverage.

Arbol is looking for a backend engineer to join the team to help build the data infrastructure for our production AI pipelines. In this role, you'll own the full lifecycle of our production LLM applications: ingestion, transformation, storage, retrieval, evaluation, and monitoring. The ideal candidate has a strong quantitative background in math, statistics, or computer science. This is a hands-on role for an engineer that's comfortable owning systems end-to-end and can move quickly without sacrificing quality.

Job posting details for Backend Engineer - AI Infrastructure at Arbol in New York City, New York.

Compensation / salary range: 120,000 - 150,000 USD, yearly. ClimateTechList gathers 16,000+ job openings from over 767 climate tech companies and updates them daily.

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.

Qualifications

• The ideal candidate has a strong quantitative background in math, statistics, or computer science.