Senior Software Engineer, Agent Platform (AI for the Planet)

Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter. Our base salary range is $146,880 - $220,320, and in addition we have generous bonus plans to provide a competitive compensation package. Who We Are: We are a small engineering team at the Allen Institute for AI, part of AI for the Planet. Our organization works on maritime conservation, food security, disaster resilience, and climate solutions with some of the most impactful organizations on the planet. This team focuses on how we build, ship, and run agentic tools across multiple programs. We work through infrastructure, security, evaluation, user-interfaces, and monitoring for workflows that are highly non-deterministic, and we form product opinions about a field that is still taking shape. Today, our team supports a few applications: EarthRanger helps conservationists make informed operational decisions. By integrating real-time data from hardware sensors, field personnel, satellite imagery, and other sources, we help prevent the poaching of endangered species, fight deforestation, promote human-wildlife coexistence, and advocate for legal protection of wildlife. From iconic national parks throughout Africa to species-specific conservation programs in the arctic, today over 1000 conservation missions in 100 countries are using EarthRanger to protect animals and their habitats. Learn more at https://earthranger.com . Skylight uses AI to detect illegal, unreported, and unregulated fishing in real time. Governments, enforcement agencies, and conservation organizations in 95+ countries use it to protect their waters. Our advanced AI-powered platform delivers real-time vessel detections and actionable insights that empower enforcement agencies globally to protect marine ecosystems. Read more at https://allenai.org/skylight . OlmoEarth is an open, end-to-end platform built around our family of foundation models for Earth observation. The OlmoEarth Platform enables our users to create custom fine-tuned models to detect and classify novel geospatial features. The platform handles the full loop: imagery acquisition from Sentinel-1, Sentinel-2, and Landsat; annotation; distributed training and inference; and a viewer so the outputs are usable by people who aren't ML experts. Partners today include NASA JPL (wildfire risk), IFPRI (crop mapping in Kenya), Global Mangrove Watch, and the Amazon Conservation Alliance. Read more at https://allenai.org/olmoearth . If you're the kind of engineer who gets energized by building technology that helps protect oceans, forests, and the climate, who wants to move fast, work across disciplines, and see your code have real-world impact, this is for you. What We Believe: The mission is the point . We're building AI for the planet: environmental conservation, food security,…