Senior Software Engineer, Platform
Builds foundational platform architecture for AI research agents, including SDKs, APIs, execution frameworks, and benchmarking infrastructure to enable researchers to develop intelligent systems over scholarly literature. Requires strong Python skills, 8+ years experience, cloud infrastructure, and AI integration expertise.
About the job
Your Next Challenge
- 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
- Help set and maintain best practices in how we measure, monitor, and respond to system availability, latency, and general application health
- 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 engineering skills, with experience building production services and developer-facing tools
- Experience with cloud infrastructure (AWS, GCP, or similar), containerization, and deployment automation
- Solid understanding of integrating AI-powered capabilities into applications, including agent workflows, memory management, and external tool integrations
- 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
Compensation: Base salary range $126,000 - $189,000, plus generous bonus plans.
Skills
Python, APIs, SDKs, AWS, GCP, Containerization, Datadog, Ai Agent Workflows, Observability Tools, Deployment Automation
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