Senior Software Engineer, Agent Platform (AI for the Planet)
Seattle, WA On-site
$146,880–$220,320 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
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. Similarly, through weekly Ai2 Academy lectures, 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.
What you'll bring
- 8+ years of professional software engineering experience.
- Range across web services, distributed systems, data pipelines, and cloud tooling.
- A track record of shipping products to external users and owning them in production.
- Willingness to write documentation as part of the work rather than after it.
- Fluency with modern AI tools in your own workflow.
- A continuous learner who adapts quickly to the rapidly evolving landscape of LLMs and agent architectures.
- Clear technical communication with engineers and non-engineers
- Must be able to exchange accurate information in these situations.
- Opinions about API design, and a preference for simple designs over clever ones.
- Experience building developer platforms, SDKs, or public APIs for outside consumers.
- Hands-on experience shipping LLM agents to production, including tool use, orchestration, sandboxing, and cost and latency tuning.
- Experience building evaluation or experimentation systems for nondeterministic software.