About Us:
Read AI is a leading productivity AI company focused on helping individuals and businesses optimize their workflows across meetings, messages, and email. With seamless cross-platform integration with Microsoft Teams, Google Meet, Zoom, Slack, Hubspot, and Salesforce, Read AI revolutionizes how teams connect and collaborate by providing an AI copilot wherever they work.

Last year we closed a $50 million Series B funding round, led by Smash Capital, with continued support from existing investors Madrona and Goodwater Capital. This new funding brings our total to $81 million, just six months after our Series A. We're just getting started, so if you're passionate about shipping early, often, and impacting millions, we'd love for you to join our growing team!

The Role:
As a Backend Engineer at Read AI, your contributions will directly impact the functionality, scalability and reliability of our product. Our team is responsible for owning the service layer across the company, which includes authentication/authorization, account management, third-party integrations/ingestion, data processing orchestration, database management, and data APIs.

Responsibilities:

• Collaborate with cross-functional teams to design and develop scalable and reliable backend services and APIs that power our platform.
• Take ownership of critical components of our system, from conception to deployment and maintenance.
• Practice quality assurance best practices including unit and integration testing.
• Implement robust authentication and authorization mechanisms to ensure data security and privacy.
• Optimize data processing pipelines and storage solutions.
• Integrate third-party services and data sources seamlessly into our platform.
• Monitor, troubleshoot, and resolve issues related to infrastructure and operations to ensure maximum uptime and reliability.
• Continuously evaluate and implement best practices, tools, and technologies to enhance the scalability, reliability, and maintainability of our systems.

Requirements:

• Bachelor's degree or higher in Computer Science/Engineering, or 3+ years of relevant industry experience.
• Proven experience in backend development, with proficiency in one or more programming languages such as Python, Java, or Go.
• Strong understanding of distributed systems, microservices architecture, and cloud computing platforms (e.g., AWS, GCP).
• Experience with authentication/authorization protocols and mechanisms (e.g., OAuth, JWT).
• Familiarity with relational and non-relational databases, along with expertise in data modeling and database management.
• Excellent problem-solving skills with a pragmatic and results-driven approach.
• Ability to thrive in a fast-paced startup environment with a high degree of autonomy and accountability.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.

Nice to Have:

• Experience with containerization and orchestration tools such as Docker and Kubernetes.
• Experience with Python, Pydantic, FastAPI, and SQLAlchemy.
• Experience with multi-region cloud computing deployments.
• Familiarity with CI/CD pipelines and DevOps practices.
• Prior experience in a startup or fast-growing environment.

Why Read AI?

• Innovative: We're set to bring AI to the masses by introducing technology designed to improve every interaction.
• Massive Impact: AI's greatest impact will be on the ability to allow people to do more, taking away mundane tasks and allowing them to focus on what matters the most.
• Growth Opportunities: Read AI is the fastest growing AI-copilot and meeting notetaker in history, and is on pace to be one of the fastest growing consumer AI companies in the world, adding more than 1MM new customers every month. The company raised Series A and B in 2024, and was noted as a Top Company To Watch in 2025 by Inc Magazine.
• Leadership: Learn more about CEO and Co-Founder David Shim in this Fortune Good Life profile from July 2025; CTO and Co-Founder Rob Williams was recently anointed as one of the most disruptive leaders in AI; and Co-Founder and VP Data Science Elliott Waldron goes behind-the-scenes on our patents and models in this tech brief..
• Collaborative Culture: Work in a supportive and collaborative environment with a diverse and talented team.