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Senior Software Engineer (Remote, US)

US, Remote
 

We are looking for a Senior Software Engineer who can take end-to-end ownership of complex full-stack systems powering our GenAI platform.

This role is focused on experienced, hands-on engineers who thrive in ambiguity and can translate product intent into reliable production systems. You will build and ship production-grade AI capabilities—spanning evaluation pipelines, tracing systems, platform APIs, and developer-facing UI.

You will work closely with product and engineering leadership to deliver real AI infrastructure used by customers in production—not demos or experimental tooling.


Required Experience
  • 5–10+ years of professional engineering experience
  • Strong hands-on experience building production systems
  • Experience building or integrating LLM-powered systems (RAG, embeddings, workflows, agents)
  • Strong TypeScript, React, and Node.js capability
  • Practical understanding of AI production concerns (evaluation, safety, latency, cost trade-offs)
  • Ability to ship full-stack features without prolonged ramp-up
  • Strong debugging and performance optimization skills
Strong Plus
  • Experience with evaluation frameworks or safety tooling
  • Familiarity with OpenTelemetry and distributed tracing
  • Exposure to vector databases and AI data pipelines
  • Experience with Python-based AI services
Job responsibilities
  • Design and ship production-grade AI platform features
  • Build across the stack using TypeScript, React, Node.js, and Python where required
  • Implement and improve observability, telemetry, and AI tracing systems
  • Contribute to evaluation pipelines and quality measurement systems
  • Take ownership of features from shaping → implementation → release → iteration
  • Improve system reliability, performance, and cost efficiency
  • Contribute to architectural discussions and engineering standards
  • Operate independently while collaborating closely with product and peers

Job benefits

  • Work at the intersection of GenAI, infrastructure, and observability
  • Ship real AI systems used by production engineering teams
  • Join at a stage where your impact materially shapes the product
  • Operate in a fast-moving, high-ownership environment
  • Fully remote
  • ESOP equity
  • Flexible hours
  • Generous PTO
  • Global offsites
  • Education support
  • Clear advancement opportunity
     

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