Staff /Principal Engineer – Core Team
AI summary of the role
Staff/Principal Engineer on the Core Team at TrueFoundry, a Series A AI infrastructure startup.
What you’ll do
- Build and scale TrueFoundry's MCP Gateway and Agentic Gateway for secure, reliable AI agent interactions.
- Design and develop cloud-native, distributed systems for AI agents, tool integrations, and enterprise workloads.
- Build core capabilities: authentication, authorization, routing, observability, security, multi-tenancy.
- Collaborate with CTO on architecture, roadmap, and platform vision; drive design and code reviews.
What you’ll bring
- 8+ years of backend/systems engineering experience.
- Deep expertise in distributed systems, cloud-native architectures, scalable system design.
- Strong Kubernetes and containerized workloads knowledge.
- Practical experience building/deploying ML/GenAI applications or working with ML/DS teams.
Technologies
Kubernetes · Python · Golang · Node.js · TypeScript · MCP · AI Gateway · LLM Gateway · Agent Gateway · Guardrails
Source and classification
Internal deployment & tooling · Evidence for this classification:
few API calls and call it production-ready. You need a control plane that handles: Intelligent routing with observability, cost policies, and fallback logic Centralized tool and MCP server management with security and lifecycle controls Agent orchestration with governance and guardrails A unified compute layer to run self-hosted models, custom tools, and agents AI Gateway is the control plane: five composable components (Prompts, LLM Gateway, MCP Gateway, Guardrails, Agent Gateway) that handle routing, orchestration, and governance. 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. The Role: Solve some of the most complex Engineering problems and drive it alongside a team of engineers & ML researchers. Build a deep, holistic understanding of the TrueFoundry
More from the job description
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 are looking for a Staff/Principal Engineer – Core Team. The Problem We're Solving 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: Intelligent routing with observability, cost policies, and fallback logic Centralized tool and MCP server management with security and lifecycle controls Agent orchestration with governance and guardrails A unified compute layer to run self-hosted models, custom tools, and agents AI Gateway is the control plane: five composable components (Prompts, LLM Gateway, MCP Gateway, Guardrails, Agent Gateway) that ha [... source excerpt omitted ...] ild a deep, holistic understanding of the TrueFoundry platform across all components and shape the product vision and implementation. Act as the technical face of engineering for customer-related discussions and escalations Guide and unblock engineers across projects in the US region Partner closely with our CTO and India-based engineering team to drive system design, architecture, and implementation of complex products Lead technical design, critical customer problem-solving, and platform scalability initiatives end-to-end This is a high-ownership, high-impact role designed for an engineer who loves combining world-class systems thinking with real-world execution. What You [... source excerpt omitted ...] m platform vision. Drive architectural decisions, participate in design and code reviews, and ensure high engineering standards across the platform. Work closely with enterprise customers to understand their AI infrastructure needs and translate feedback into scalable platform capabilities. Mentor engineers across teams, helping them build high-quality, reliable, and maintainable systems. Continuously improve platform performance, reliability, scalability, and developer experience while reducing technical debt. Stay at the forefront of emerging AI infrastructure, Model Context Protocol (MCP), and agentic systems, bringing new ideas into the product Who You Are: 8+ years of
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