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TrueFoundry is seeking a Staff/Principal Engineer for its Core Engineering team in the United States. You will drive architecture for distributed cloud-native systems and lead critical design, performance, and scalability initiatives, while mentoring US-based engineers and collaborating with global teams.
The role combines world-class systems thinking with hands-on execution, shaping the product and ensuring governance across platforms used for AI workloads and model deployment.
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.
We're TrueFoundry, and we're building it. We're looking for a Staff Engineer – Core Engineering to join the 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, a 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 seeking a Staff / Principal Engineer to join our Core Engineering team as a senior technical leader based in the United States. You will:
This is a high‑ownership, high‑impact role designed for an engineer who loves combining world‑class systems thinking with real‑world execution.
Experience supporting enterprise deployments of AI/ML infrastructure, model training, or inference systems.
Flexible hours, learning credits, and the opportunity to work shoulder‑to‑shoulder with the co‑founders (Abhishek & Nikunj).