Senior Software Engineer

Full-stack EngineerSoftware EngineerFull TimeRemote

Location

United States

Posted

2 days ago

Salary

Not specified

No structured requirement data.

Job Description

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

  • 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

  • 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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