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Software Engineer - Fullstack

🏢 Read Ai · 📍 Read AI - Seattle HQ · 💼 hybrid · ⏰ FullTime
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Position Summary & Responsibilities

About Read AI:

At Read AI we’re redefining how teams collaborate by bringing intelligence to every conversation. Our platform supercharges productivity across meetings, messages, and email, so work gets done faster, smarter, and with better focus. We integrate seamlessly with tools like Zoom, Microsoft Teams, Google Meet, Slack, 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 collaboration and want to make an impact at a product-focused startup, we’d love to meet you.

About the Role

We are seeking a Fullstack Software Engineer to join our fast-growing team at Read AI. In this role, you will be responsible for designing, building, and maintaining scalable web & desktop applications across both frontend and backend systems. You will collaborate closely with product managers, designers, and fellow engineers to deliver high-quality user experiences and robust backend services that power our AI-driven platform.

Responsibilities

  • Design, develop, and maintain web applications across the full technology stack (frontend and backend).

  • Build and optimize user interfaces using modern frameworks such as React and Typescript.

  • Develop and maintain RESTful APIs, microservices, and backend systems using Node.js, Java, Python, or similar technologies.

  • Collaborate with cross-functional teams to define, design, and ship new features.

  • Participate in code reviews, technical discussions, and systems design sessions.

  • Troubleshoot, debug, and optimize application performance.

  • Contribute to Agile development processes and CI/CD pipelines.

  • Demonstrate ownership of projects and deliver solutions independently and as part of a team.

Requirements

🎯 Candidate Preparation Guide For Read Ai Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Testing applied machine learning capabilities, NLP/LLM integration prowess, and user-obsessed product intuition for meeting productivity and analytics.

📋 Preparation Priorities (Key Areas to Clarify):
  • 1. Treating generative AI as a magic bullet without understanding vector databases or prompt engineering limits
  • 2. Ignoring user privacy, data security, and enterprise trust concerns regarding meeting transcriptions
  • 3. Building features in isolation without tying them to core engagement and retention loops
✨ Recommended Role Alignment Hook:

I build practical, user-obsessed AI workflows that transform noisy enterprise communication into structured, actionable intelligence.

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