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.

We're TrueFoundry, and we're building it. We're looking for our Engineering Leader!

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:

• 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

• 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

• 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

• Act as senior technical leadership in enterprise discussions when needed

• Oversee escalations for complex deployments

• Translate enterprise requirements into scalable platform primitives

• Partner with the CTO on roadmap prioritization and architecture

• Work closely with Product and Outcome Engineering

• Align infrastructure investments with long-term product strategy