CodeRabbitSan Francisco, CABuilds scalable backend services, APIs, and distributed systems for AI-driven code review tools. Requires 5+ years experience with TypeScript/Node.js, cloud platforms, containerization, and integrating ML models into agent-based systems.
Education: Degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience
Experience: 5+ years building backend systems and distributed infrastructure
Technical Expertise: Fluency in TypeScript and Node.js, or a similar modern backend stack; experience with microservices, async job queues, and event-driven architectures
Systems Thinking: Familiarity with cloud platforms (AWS/GCP), containerization (Docker/Kubernetes), CI/CD pipelines, devops tooling, runtime infrastructure, and production observability
Engineering Craft: Strong understanding of software engineering best practices, including testing, code reviews, and version control workflows
Product Mindset: Thoughtful about trade-offs, user experience, and fast iteration
Team Leadership: Willing to mentor, lead by example, and influence technical direction without being a pure manager
Senior backend engineer building scalable web services and infrastructure to support AI-driven products at Otter.ai. Requires 5+ years experience with Python/Django, distributed databases (MySQL, Kafka, Cassandra, Redis), and AWS, plus strong ML infrastructure knowledge.
Senior backend engineer owning end-to-end AI product features at Otter.ai. Design and implement systems orchestrating LLMs, retrieval, and structured data; drive from concept to production with focus on quality, latency, cost; mentor team in fast-paced environment. Requires 5+ years scaling product systems, Python experience, and AI/LLM familiarity.
Senior backend engineer owning end-to-end AI product features at Otter.ai. Design and implement systems orchestrating LLMs, retrieval, and structured data; drive from concept to production with focus on quality, latency, cost; mentor team in fast-paced environment. Requires 5+ years scaling product systems, Python/web stack, AI/LLM experience.
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