# Senior Software Engineer, Platform

**Company:** [Ai2](https://hotfix.jobs/companies/ai2)
**Location:** Seattle, WA
**Role:** DevOps / SRE
**Salary:** $126k – $189k/yr
**Experience:** 8+ years
**Skills:** Python, APIs, SDKs, AWS, GCP, Containerization, Datadog, Ai Agent Workflows, Observability Tools, Deployment Automation
**Posted:** 2026-05-02

> 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.

## Job Description

## 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.

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