Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
Find roles through people you trust, and message a verified founder or page admin about your interest.
About TrueFoundry
Every production AI system whether it's powering customer support, writing code, analyzing financial data, or diagnosing medical conditions needs the same foundational infrastructure.A way to route between models. A way to manage tools and integrate them securely. A way to orchestrate agents and enforce governance. A unified compute layer to run it all.
That infrastructure layer is being built right now.
We're TrueFoundry, and we're building it. We're looking for a Frontend Intern to join our Enginerring team.
Companies are moving beyond simple chatbots to production agentic systems. These systems route between OpenAI, Anthropic, Google, and self-hosted models. They integrate dozens of tools via protocols like MCP. They orchestrate multi-agent workflows where agents coordinate with other agents.
The infrastructure to support this doesn't exist yet. You can't just duct-tape together a few API calls and call it production-ready.
You need a control plane that handles:
We've built two products to solve this:
AI Gateway is the control plane five composable components (Prompts, LLM Gateway, MCP Gateway, Guardrails, Agent Gateway) that handle routing, orchestration, and governance.
AI Deploy is the compute layer of Kubernetes-based platform that abstracts ML workloads as standard software primitives, so everything runs on unified infrastructure.
We're Series A, backed by Intel Capital and Sequoia. Companies like CVS, Mastercard, Siemens, Paytm, Synopsys, and Zscaler run production AI workloads on our platform.
We are looking for Frontend Engineering Interns who are excited about building developer-focused products and modern web applications. You will work closely with our product and engineering teams to craft intuitive, high-performance user interfaces for AI/ML platforms used by developers and enterprises globally.
This is a hands-on role where you will ship real features to production.