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Blue Note

Software Engineer, Platform

San Francisco (Remote)fulltimemidAdded 1 month ago

About this role

Join Bluenote as a Platform Software Engineer to design and scale core infrastructure powering an AI platform for life sciences. You'll build robust APIs, data pipelines, and agent orchestration systems that enable enterprise clients to deploy AI workflows at scale, while owning platform security, performance, and reliability.

What you'll do

  • Build and maintain core platform infrastructure including APIs, data pipelines, RAG, and agent orchestrator
  • Design scalable architectures supporting enterprise-grade AI workflows and orchestration
  • Develop tooling and frameworks for rapid AI solution development and deployment
  • Implement monitoring, logging, and observability systems for platform reliability
  • Collaborate with Agent Engineering team to optimize platform for their use cases
  • Own platform security, performance, and scalability as customer base grows

What they're looking for

  • Python or similar programming languages
  • Distributed systems and API design
  • Cloud infrastructure (AWS, GCP, or Azure)
  • Containerization and orchestration (Docker, Kubernetes)
  • CI/CD pipelines and infrastructure as code
  • Database design and performance optimization
  • ML/AI infrastructure or LLMOps (preferred)
  • Systems thinking and reliability engineering
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Blue Note

Blue Note builds an AI platform for life sciences that enables enterprise clients to deploy AI workflows at scale, including LLM-based agents for drug development and healthcare automation. The company is hiring Platform Software Engineers to develop core infrastructure and APIs, as well as Software Engineers to build and deploy customer-facing AI workflow solutions.

View all jobs at Blue Note

Likely interview questions

  • Walk us through a distributed system you designed and scaled. What were the key bottlenecks, and how did you address them?
  • Describe your experience building APIs and data pipelines. How do you approach designing for enterprise-scale reliability?
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