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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 a Staff Engineer – Core Engineering to join the 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:
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.
The Role:
We are seeking a Staff / Principal Engineer to join our Core Engineering team as a senior technical leader.
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.
What You'll Do:
Who You Are:
Why Join TrueFoundry
Job ID: 147657557
Skills:
Google Cloud Platform, CSS, Sass, Service Oriented Architecture, Json, Web Api 2, Sql, React Js, Rest Services, Typescript, Javascript, Design Patterns, Html5, Xml, Less, Azure, AWS, Unit test frameworks, AGILE development principles, object-oriented design principles
Skills:
Java, Jenkins, Kubernetes, Python, AWS, test automation frameworks, Go, IaC, Spinnaker, CI CD pipelines, monitoring observability tools, ArgoCD
Skills:
Public Cloud, Java, Graphql, CSS, Microservices, Sdlc, Open Source, Devops, React, REST, Javascript, Distributed Systems, MDLC, UI automation framework, client performance analysis, Security, data taxonomy and persistence technologies, serverless technologies
Skills:
Kafka, Redis, Sql, Nosql, Rabbitmq, React, Gcp, Docker, FastAPI, Azure, Helm, Kubernetes, Python, AWS, Generative AI, Go, NATS
Skills:
Java, Graphql, Scala, Kafka, TigerGraph, MLops, Neo4j, Docker, Spark, Kubernetes, Python, AWS, Airflow, pgvector, Qdrant, Go, MLflow, Flink, Neptune, Kubeflow, Milvus
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