The Allen Institute for AI (Ai2) is hiring a Senior Platform 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.
Key Responsibilities
Design and extend APIs that expose structured scholarly data to academic researchers and AI agent workflows
Contribute to dashboards and tools for evaluating data quality and model precision
Scale our systems in a cost-effective and sustainable manner and be a driving force behind continuous improvements in reliability and automation
Improve team velocity through contributions to software design, feature development, platform and framework enhancements, capacity planning, and deployment tooling
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
Required Qualifications
Bachelor's degree and 8+ years of technical experience; relevant experience may substitute for education
Strong Python engineering skills, with experience building production services and developer-facing tools
Experience with cloud infrastructure (AWS, GCP, or similar), containerization, and deployment automation
Experience with analytics and observability tools like Datadog or similar for monitoring performance, system health, and reliability
Familiarity with designing APIs, SDKs, or frameworks that other engineers build on top of
Strong communication skills and a sense of ownership for results
About The Allen Institute for Artificial Intelligence
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.
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.
Please let Allen AI know that you found this role at devopsprojectshq.com as a way to support us, so we can keep providing you with awesome DevOps jobs.
Never miss a job
Join 2,000+ DevOps developers getting weekly alerts for remote and US/EU roles, Kubernetes, AWS, Terraform, filtered for your stack.
🔒 Need an IP to whitelist?
Get a dedicated static EU outbound IP for Banks, payments, EHRs, APIs, AI.