About Read AI:

At Read AI we're redefining how teams collaborate by bringing intelligence to every meeting. Our platform supercharges productivity before, during, and after meetings—and across messages and email—so work gets done faster, smarter, and with better focus. We integrate seamlessly with tools like Microsoft Teams, Google Meet, Zoom, Slack, HubSpot, ChatGPT, Claude, and more, helping teams stay aligned and move forward, whether they're in the same room or across time zones.

Backed by $81 million in funding from Smash Capital, Madrona, and Goodwater Capital, Read AI is growing. If you're excited to shape the future of AI-powered meetings and want to make an impact at a product-focused startup, we'd love to meet you.

The Role:

Read AI is seeking a Senior Software Engineer to join our Backend team. As a senior contributor, you will play a key role in designing, building, and scaling backend systems that power our AI-driven productivity platform. You’ll work in a fast-paced, collaborative

Responsibilities:

• Architect, develop, and maintain scalable backend services and APIs, primarily using Python (FastAPI), SQLAlchemy, and AWS infrastructure.
• Design and implement features for data ingestion, third-party integrations (e.g., Slack, HubSpot, Notion), authentication/authorization, and enterprise-grade security and compliance.
• Own the full software development lifecycle: requirements gathering, design, implementation, testing, deployment, and monitoring.
• Collaborate closely with product managers, frontend engineers, and data scientists to deliver innovative solutions.
• Drive technical excellence through code reviews, mentorship, and best practices in software engineering.
• Participate in on-call rotations and contribute to operational excellence, reliability, and observability of backend systems.
• Continuously improve system performance, scalability, and reliability to support rapid user and data growth.
• Contribute to a culture of innovation, ownership, and customer-centricity.

What we look for:

• 7+ years of professional experience in backend software engineering, with a strong track record of shipping production systems.
• Proficiency in Python (or similar languages such as Java, C++, or Node.js); Experience designing and building distributed, cloud-native systems (preferably on AWS).