Senior Software Engineer, Agent Frameworks

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 $126,000 - $189,000, and in addition we have generous bonus plans to provide a competitive compensation package.  Who You Are: The Allen Institute for AI (Ai2) is hiring a Senior Engineer to build the foundational architecture behind AI research agents that explore and reason over scholarly literature. You'll design the systems that define how agents, tools, and services interact, creating SDKs, APIs, and execution frameworks that enable researchers to build, evaluate, and scale intelligent systems. You'll contribute to the agent architecture, build infrastructure for sandboxed execution and benchmarking, and create evaluation frameworks that measure component  performance. You're a seasoned engineer who thrives in greenfield environments, excels at building robust developer-facing infrastructure, and is energized by making complex distributed systems feel simple. Who We Are:  The Agentic Applications team builds open, production-grade AI systems that power scientific discovery. We focus on developing intelligent agents that help researchers explore literature, synthesize knowledge, and accelerate their work across real-world scientific use cases. The team combines strong engineering practices with close collaboration across Ai2's product and research orgs to deliver tools used by millions of researchers and developers worldwide. Your Next Challenge: The essential functions include, but are not limited to the following: Design and build the frameworks, SDKs, and execution surfaces that define how agents, tools, and services interact across our research platform Build infrastructure for sandboxed agent execution, enabling researchers to safely run, inspect, and iterate on agent workflows at scale Design and maintain evaluation and benchmarking frameworks that measure the performance of individual agent components and end-to-end systems Develop the abstractions and developer-facing tooling that let research scientists build, compose, and deploy agents without owning the underlying infrastructure Drive continuous improvements in reliability, observability, and cost-efficiency across the systems agents run in and depend on Engage in the entire software development lifecycle, from ideation and design to implementation and testing to deployment and operational support, with a strong sense of ownership for results Collaborate across engineering and research teams to ensure maintainability, test coverage, and robust deployment Communicate effectively across engineering, product, and research teams to align priorities and drive projects to completion What You’ll Need: Bachelor's degree and 8+ years of technical experience; relevant experience may substitute for education Strong Python engineeri...