Braintrust Logo

Braintrust

Software Engineer, Backend

Reposted 19 Days Ago
In-Office
San Francisco, CA, USA
Senior level
In-Office
San Francisco, CA, USA
Senior level
As a backend engineer, design and develop features for AI tools, build real-time data pipelines, and ensure system reliability and performance.
The summary above was generated by AI
About the company

Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it.

Teams at Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts, and catch regressions — turning production data into better AI with every release.

About the role

We’re looking for a backend engineer who’s excited to build the infrastructure behind cutting-edge AI development tools.

Under the hood, Braintrust is a real-time, high-availability data platform that operates in both SaaS and self-hosted environments. You’ll help scale our ingestion pipelines, evolve our open source libraries, and ensure everything runs reliably, observably, and fast. If you thrive in a fast-paced environment and enjoy solving hard systems problems with a product mindset, we’d love to work with you.

What you'll do

As a backend engineer at Braintrust, you’ll help build the core platform powering LLM-native development:

  • Design and ship features that give users deep insight into their LLM usage and performance.

  • Integrate, proxy, cache, and collect data from OpenAI, Anthropic, Gemini, and other major model providers that our customers rely on.

  • Develop and evolve robust, efficient open source libraries for tracing and evaluating LLM calls inside customer applications. Check out our SDKs

  • Build highly available real-time data pipelines to ingest, store, and query large volumes of structured and semi-structured AI usage data.

You will also collaborate closely with our product engineers to ship polished, end-to-end features that solve real problems for our customers, such as:

  • Bundling and uploading javascript and python code snippets to be used as online, on-demand function calls for LLM workflows.

  • Support for parsing and uploading attachments from LLM multimodal outputs into long term storage.

  • Role-based access controls and data retention policies for enterprise use cases.

Ideal candidate credentials
  • 5+ years of backend engineering experience across multiple parts of the stack

  • Strong systems thinking: you’ve owned or contributed to infrastructure projects and know how to design for scale, uptime, and data integrity

  • Proficient in modern backend technologies (e.g., Node.js, Go, Python, Rust, Postgres, Redis, Terraform, Docker, AWS)

  • Experience with observability tooling (e.g., Grafana, Prometheus, Datadog, or similar) and a passion for making systems operable, available and rock solid.  

  • Comfortable with ambiguous problems and excited to partner across the company to ship impactful work

  • Clear communicator who documents decisions, shares context, and helps lift the team

Benefits include
  • Medical, dental, and vision insurance

  • Daily lunch, snacks, and beverages

  • Flexible time off

  • Competitive salary and equity

  • AI Stipend

Equal opportunity

Braintrust is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

HQ

Braintrust San Francisco, California, USA Office

1 Main St, San Francisco, CA, United States, 94105

Similar Jobs

2 Days Ago
Hybrid
133K-235K Annually
Junior
133K-235K Annually
Junior
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Design, build, and operate large-scale backend services (identity, friend graph, persistence). Collaborate cross-team to evaluate trade-offs, ensure availability, scalability, and operational excellence, debug and resolve incidents, and use AI tools to accelerate development while maintaining security and code quality.
2 Days Ago
Hybrid
Sunnyvale, CA, USA
120K-180K Annually
Mid level
120K-180K Annually
Mid level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Build and maintain cloud-based systems that manage and distribute configuration to millions of endpoints. Design and implement scalable backend services (primarily in Go, with some Python), collaborate across teams, perform code reviews, ensure testing/logging/resilience, troubleshoot production outages, and contribute to platform reliability. Work is hybrid with occasional travel for in-person meetings.
Top Skills: AWSAzureC++CassandraElasticsearchGCPGoKafkaKubernetesLinux ContainersPythonRedisTypescriptUnix Shell
3 Days Ago
In-Office
San Francisco, CA, USA
168K-238K Annually
Senior level
168K-238K Annually
Senior level
Consumer Web • Healthtech • Professional Services • Social Impact • Software
Design and build reliable backend services powering clinical data, insurance billing, patient-facing infrastructure, and financial ledger systems. Scale high-integrity systems requiring idempotency, strong consistency, and pragmatic AI integration to automate provider workflows and enable personalized patient experiences.
Top Skills: AWSClaudeCursorDatadogEddyGeminiPagerdutyPostgresPythonRedisSentrySnowflakeTemporalTypescript

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account