Backend Intern

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 Backend Intern to join our Engineering 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:

• 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.

Education: IITians are highly preferred for education, especially in engineering and technology.

Traits we are looking for: Ownership, ability to execute, hustle and think out of the box, data driven decision making, be comfortable with more unknowns than knowns

What you'll be doing? You will play a crucial role in helping us achieve our growth objectives. Your primary responsibility will be to assist in building and optimizing both our Outbound funnels.

What do we do?

TrueFoundry is a Cloud-native PaaS for Machine learning teams to build, deploy and ship ML/LLM Applications on their own cloud/on-prem Infra in a faster, scalable, cost efficient way with the right governance controls, allowing them to achieve 90% faster time to value than other teams.

TrueFoundry abstracts out the engineering required and offers GenAI accelerators - LLM PlayGround, LLM Gateway, LLM Deploy, LLM Finetune, RAG Playground and Application Templates that can enable an organisation to speed up the layout of their overall GenAI/LLMOps framework. Enterprises can plug and play these accelerators with their internal systems as well as build on top of our accelerators to enable a LLMOps platform of their choice to the GenAI developers. TrueFoundry is modular and completely API driven, has native integration with popular tools in the market like LangChain, VectorDBs, GuardRails, etc.