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, climate. If it's important to you to work on problems with a positive impact on our planet and the world, you're in the right place.

The engineer closest to the user makes the best decisions. We put weight on talking to users, sitting with partnerships, and working side by side with researchers. You can't ship the right thing if you don't understand who you're shipping it for. This engineering team travels regularly to meet with users.

Iterate small. Our users are tackling huge problems: illegal fishing, food security, climate resilience. They need tools that genuinely help. We believe the fastest way to build those tools is to design and build alongside them as partners: ship something functional, learn from how they use it, and iterate from there. Keeping users in the loop is how we build a better system, faster.

We ship high-quality code quickly, and we learn fast from mistakes. We hold a high bar for what we put into production, but we also move with urgency. When something breaks, we focus on understanding the system, not blaming individuals. Failures are signals that help us strengthen the layers that protect our users.

In-person matters. A lot of the best work on this team happens in unscheduled hallway conversations between engineering, research, and partnerships. We're in the office most days because that's where the team is at its best.

We hire for curiosity. The technologies we use will change over the years, and the engineers who do well here are the ones who enjoy learning new things, not the ones who've memorized a particular toolkit.

Ideas get better when they're challenged. We make decisions by talking them through - asking questions, pushing back when something doesn't quite add up, and being open to changing our minds. Everyone here is still learning, and we like it that way.

Your Next Challenge:

We are building a platform for conservation groups, government agencies, and research organizations that want to run AI agents against their own systems. They know their domain and they have the data. We give them the tools to build an agent, see what it is doing, and tell whether it is any good.

You would work across the whole platform, from core services to the tools, UI and API interfaces, docs, and evals authors use, and help decide what those should become as the field changes. You would also build and run agents of your own, so you know the platform as a user.

Much of the job is spent with partners: meeting their developers, sometimes on site, seeing where they get stuck, and turning recurring problems into platform improvements. We expect you to form opinions about what to build, argue for them, and change them when users show you otherwise.

• Build and evolve the platform's core capabilities and interfaces.
• Own the experience of authoring agents on the platform, from the first build all the way through production deployment.
• Build the UI, CLI, and SDK that authors use to deploy agents, run evals, and understand what happened.
• Develop our own internal agents on the platform and operate them in production.
• Write the docs, quickstarts, and example agents that get an outside developer from an idea to a running agent.
• Decide with the team what to work on next, and fix what blocks users before starting larger features.
• Write small tools and skills that make the team faster.

You would work closely with our PM team on what to build next, and with the other engineers on the platform.

What You’ll Need:

• 8+ years of professional software engineering experience.
• Experience across the stack: web UIs, backend services, CLIs, and cloud tooling. You move between them as the work needs.
• A track record of shipping products to external users and talking with those users directly.
• Good judgment about priorities: you fix blockers first and keep scope small.
• Clean, tested code, and experience reviewing other people's code.
• Opinions about API design, and a preference for simple designs over clever ones.
• Daily use of AI coding tools such as Claude Code, including writing your own skills or tools.
• Willingness to write documentation as part of the work rather than after it.
• Clear technical communication with engineers and non-engineers.

Nice to Have:

• Experience building developer tools, CLIs, SDKs, or public APIs for outside users.
• Experience building or running LLM agents, including prompts, tools, and evals.
• Experience building evaluation or experimentation systems.
• Small or growth-stage company experience.
• Public technical work such as open source contributions, writing, or side projects.
• Willingness to travel on occasion.

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time. 
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. 
• The ability to observe details at close range.
• Can work under deadlines.

A Little More About Ai2:

Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.

In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:

• We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. With a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers. 
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind. 
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do. 

Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links. 

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at [email protected].

Benefits:

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.