Engineering Leader

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 our

Engineering Leader! 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 We've built two products to solve this: AI Gateway

is the control plane of five composable components (Prompts, LLM Gateway, MCP Gateway, Guardrails, Agent Gateway) that handle routing, orchestration, and governance. AI Deploy

is a compute layer of 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’re looking for a

Engineering Leader

to lead the Core Platform organization responsible for: AI Gateway (Control Plane) AI Deploy (Unified Compute Platform) Distributed orchestration, routing, governance, and infrastructure scalability This role is not about managing tickets. It’s about building the technical backbone of the agentic AI era.

You will work directly with the founders to shape architecture, scale engineering teams, and ensure we build a category-defining platform. What You Will Own: 1. Platform Architecture & Technical Direction Define and evolve the architecture for distributed, multi-tenant AI systems Drive long-term scalability, reliability, and performance strategy Ensure AI Gateway and AI Deploy evolve cohesively as a unified platform Maintain high technical standards across control plane and compute layers 2. Engineering Organization Build and lead a high-caliber team of Staff/Principal engineers Hire across US and India Establish strong design review, architecture review, and incident management processes Develop future technical leaders within the organization 3. Execution at Startup Velocity Balance long-term architecture with rapid product iteration Identify and mitigate scaling risks early Drive operational excellence for enterprise-grade deployments Ensure high availability, resilience, and cost efficiency 4. Customer & Enterprise Credibility Act as senior technical leadership in enterprise discussions when needed Oversee escalations for complex deployments Translate enterprise requirements into scalable platform primitives 5. Cross-Functional Alignment Partner with the CTO on roadmap prioritization and architecture Work closely with Product and Outcome Engineering Align infrastructure investments with long-term product strategy Why Join TrueFoundry? Work directly with

ex-Facebook engineers

and

founders from IIT Kharagpur, UC Berkeley, and Y Combinator alumni . First-hand exposure to building and scaling a

deep-tech startup

insights you’ll carry if you want to start your own one day. Flexible hours, learning credits, and the opportunity to work

shoulder-to-shoulder with the co-founders

(Abhishek & Nikunj).