Archipelago is an AI-driven commercial property risk platform that provides real-time visibility into how to better manage risk, improve portfolio resilience, and create more value in portfolios through intelligent insurance strategies and investments. As the most accurate and trustworthy source, Archipelago gives companies visibility into their data and tighter control over their business.

Archipelago

Engineering Manager

• Archipelago is seeking an Engineering Manager to join our growing team. As an Engineering Manager you will help lead a distributed team of frontend and backend engineers. We iterate quickly, build for the long term, and are looking for smart, independent folks who want to ply their trade with like-minded people. The ideal candidate will be comfortable working collaboratively, across teams & timezones, and helping us define our platform culture. You'll have a significant impact, since the product & team is in its early stages. You'll have a full team to support you, from research and design, through planning, development, deployment, delivery, and iteration.

Backend Engineer

Develop and maintain complex data services for an AI-powered commercial property insurance platform.

• Build, deploy and iterate on new features and capabilities of the Archipelago SaaS API platform stack.
• Collaborate with other engineers, design, and product to build out new capabilities and designs.
• Own the quality of your deliverable through good design, implementation and unit testing
• Take on a lead role in requirements gathering, scoping and planning projects from beginning to end
• Driving the continuous improvement of our existing codebase by participating in code reviews, refactoring legacy code, and measuring code coverage and performance
• Guide and mentor junior engineers
• Ship code to production frequently

Senior Backend Engineer

Machine Learning Engineer

Design and develop Gen AI systems for commercial property insurance using machine learning.

• Designing and developing machine learning and deep learning systems
• Building RAG pipelines with LLMs
• Design and implement tracking and evaluation tools to assess model performance and data accuracy, focusing on product relevance based on user interaction feedback
• Implementing appropriate ML algorithms
• Orchestration of long running jobs for data extraction
• Building UIs to test & evaluate results of ML experiments
• Translate research papers into high-quality, production-ready code
• Ship code to production frequently
• Coach and mentor more junior engineers

Archipelago Jobs in New York City

Archipelago

Engineering Manager

Archipelago

Senior Backend Engineer

Archipelago

Senior Machine Learning Engineer

Archipelago