Backend Interns

We're TrueFoundry, and we're building it. We're looking for a Backend Intern to join our Engineering 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 of 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.

Contribution to open source repos is preferred * Experience writing concurrent and distributed programs, AWS lambda, Kubernetes, Docker, Spark is preferred. * Experience with one relational & 1 non-relational DB is preferred * Prior work in the ML domain will be a big boost **What You’ll Do** * Help realize the product vision: Production-ready machine learning models with monitoring within moments, not months. * Help companies deploy their machine learning models at scale across a wide range of use-cases and sectors. * Build integrations with other platforms to make it easy for our customers to use our product without changing their workflow. * Write maintainable, scalable performant python code * Building gRPC, rest API servers * Working with Thrift, Protobufs, etc.