Software Engineering Intern

TraceRoot is the open-source self-improving layer for AI agents — observability that detects failures in production, root-causes them against your source code and GitHub history, opens verified fix PRs, and evals every fix — so your agent gets better with every release.

As the engineering intern at TraceRoot, you’ll work side-by-side with the founders to build the product and shape our engineering culture from the ground up.

You’ll wear many hats, touching everything from AI systems and user-facing features to backend infrastructure and open-source SDKs.

We move fast, debate hard, and execute even harder, shipping new features weekly and iterating live with users. You’ll work in person with the founders at least 3 days a week, white boarding, coding, and shipping together. If you love building fast, solving hard problems head-on, and seeing your code impact real users within days, you’ll fit right in.

• Talk to users often to deeply understand how to improve TraceRoot’s AI and UX (you can expect to spend 10-20% of your time on support)
• Ship full-stack features and build the foundational building blocks that users will use to build their apps seamlessly
• Maintain our open-source projects to help grow and engage our developer community
• Improve our AI agents’ performance, reliability, and edge-case handling to continuously enhance AI output quality (for both function + design)
• Build robust infrastructure for our end-to-end platform to power millions of telemetry events

• Strong full-stack experience with React, TypeScript, and Node.js: you’ve shipped production features end-to-end
• Strong sense of ownership: you’re autonomous and own features from start to finish
• Strong communicator: you write clearly, think rigorously, and can collaborate well within small teams
• Scrappy and execution-driven: you move fast, make pragmatic decisions, and care about results over process, bias for action is in your DNA.
• Relentless builder mindset: you thrive under pressure, love solving hard problems, and make things happen with limited resources

• Multi-agent systems: you’ve designed or shipped multi-agent systems, AI-powered coding tools, LLM orchestration frameworks, or automated code workflows
• Observability tooling: you’ve built or contributed to systems like tracing pipelines, logging, search infra, metrics platforms, or other developer-facing observability tools
• Startup experience: you’ve worked at early-stage startups or have been a founder yourself

TraceRoot is building the open-source self-improving layer for AI agents — observability that detects failures in production, root-causes them against your source code and GitHub history, opens verified fix PRs, and evals every fix — so your agent gets better with every release.

Our stack:

• Python (FastAPI, Celery) and TypeScript (Next.js 15, React 19) across our platform and agent layers
• ClickHouse for time-series trace storage; PostgreSQL for relational metadata; Redis for queuing
• OpenTelemetry-compatible Python SDK with native support for OpenAI, Anthropic, Gemini, and 10+ other LLM providers
• Agentic root cause analysis engine with GitHub integration for bug tracking and code version history
• AWS (EKS Fargate) + Helm/Terraform for deployment; fully self-hostable via Docker Compose

We’ll review your resume and reach out to begin the interview process if there’s a fit.