Senior AI/ML Engineer — LLM & Agent Stack

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 Senior AI/ML Engineer — LLM & Agent Stack 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:

• 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, 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.

Role summary

You’ll design and own core components that enable enterprise customers to run production agentic AI safely and efficiently on TrueFoundry.