Braintrust

Open Source Engineer - Go

Braintrust
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1 year ago
Remote, United States +2 moreSenior
H1B sponsor

Responsibilities

  • Build elegant, idiomatic, resilient Go SDKs for Braintrust’s LLM evaluation and AI observability platform.
  • Optimize libraries for usability, runtime efficiency, performance, and developer experience.
  • Integrate SDKs with AI providers, frameworks, and platforms including OpenAI, Anthropic, and Gemini.
  • Build testing, profiling, and release automation tools.
  • Own the full SDK lifecycle, including design, implementation, releases, documentation, and community support.
  • Collaborate with backend, platform, and product teams to deliver a cohesive developer experience.
  • Engage with users, understand their issues, and help drive fixes and contributions through the open-source community.

Requirements

  • Deep expertise in Go and experience building fast, idiomatic, reliable libraries.
  • Proficiency with tooling for robust SDK development, including testing frameworks, profilers, CI/CD pipelines, and packaging systems.
  • Strong focus on developer experience, including clean APIs, clear documentation, thoughtful error handling, and backward compatibility.
  • Experience wrapping, patching, or extending existing frameworks and SDKs to add observability and control without disrupting developer workflows.
  • Experience maintaining or contributing to production-grade open-source libraries used across multiple environments.
  • Familiarity with OpenTelemetry or tools in the LLM/AI ecosystem is a bonus.
  • Experience contributing to popular open-source projects or leading SDK adoption is a bonus.

Benefits

  • Medical, dental, and vision insurance
  • Daily lunch, snacks, and beverages
  • Flexible time off
  • Competitive salary and equity
  • AI stipend

Tech Stack

Categories

Braintrust

About Braintrust

201-500 employees

Braintrust builds an AI observability and evaluation platform for teams deploying LLM-powered applications. It unifies evals and production monitoring to compare models, test prompts, catch regressions, and turn real usage data into better releases; it can be self-hosted or used as a managed service. Customers include Notion, Stripe, Zapier, Vercel, and Ramp, and the software is sold by subscription to engineering and data teams.

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