Job Description
About True Foundry 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 True Foundry, and we're building it. We're looking for our Engineering Leader! The Problem We're Solving Companies are moving beyond simple chatbots to production agentic systems. These systems route between Open AI, 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 of five composable components (Prompts, LLM Gateway, MCP Gateway, Guardrails, Agent Gateway) that handle routing, orchestration, and governance. AI Deploy is a compute layer of 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.
We’re looking for a Engineering Leader to lead the Core Platform organization responsible for:
AI Gateway (Control Plane)
AI Deploy (Unified Compute Platform)
Distributed orchestration, routing, governance, and infrastructure scalability This role is not about managing tickets.
It’s about building the technical backbone of the agentic AI era.
You will work directly with the founders to shape architecture, scale engineering teams, and ensure we build a category-defining platform. What You Will Own: 1. Platform Architecture & Technical Direction
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 2. Engineering Organization
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 3. Execution at Startup Velocity
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 4. Customer & Enterprise Credibility
Act as senior technical leadership in enterprise discussions when needed
Oversee escalations for complex deployments
Translate enterprise requirements into scalable platform primitives 5. Cross-Functional Alignment
Partner with the CTO on roadmap prioritization and architecture
Work closely with Product and Outcome Engineering
Align infrastructure investments with long-term product strategy Why Join True Foundry? Work directly with ex-Facebook engineers and founders from IIT Kharagpur, UC Berkeley, and Y Combinator alumni . First-hand exposure to building and scaling a deep-tech startup insights you’ll carry if you want to start your own one day. Flexible hours, learning credits, and the opportunity to work shoulder-to-shoulder with the co-founders (Abhishek & Nikunj).
That infrastructure layer is being built right now. We're True Foundry, and we're building it. We're looking for our Engineering Leader! The Problem We're Solving Companies are moving beyond simple chatbots to production agentic systems. These systems route between Open AI, 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 of five composable components (Prompts, LLM Gateway, MCP Gateway, Guardrails, Agent Gateway) that handle routing, orchestration, and governance. AI Deploy is a compute layer of 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.
We’re looking for a Engineering Leader to lead the Core Platform organization responsible for:
AI Gateway (Control Plane)
AI Deploy (Unified Compute Platform)
Distributed orchestration, routing, governance, and infrastructure scalability This role is not about managing tickets.
It’s about building the technical backbone of the agentic AI era.
You will work directly with the founders to shape architecture, scale engineering teams, and ensure we build a category-defining platform. What You Will Own: 1. Platform Architecture & Technical Direction
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 2. Engineering Organization
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 3. Execution at Startup Velocity
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 4. Customer & Enterprise Credibility
Act as senior technical leadership in enterprise discussions when needed
Oversee escalations for complex deployments
Translate enterprise requirements into scalable platform primitives 5. Cross-Functional Alignment
Partner with the CTO on roadmap prioritization and architecture
Work closely with Product and Outcome Engineering
Align infrastructure investments with long-term product strategy Why Join True Foundry? Work directly with ex-Facebook engineers and founders from IIT Kharagpur, UC Berkeley, and Y Combinator alumni . First-hand exposure to building and scaling a deep-tech startup insights you’ll carry if you want to start your own one day. Flexible hours, learning credits, and the opportunity to work shoulder-to-shoulder with the co-founders (Abhishek & Nikunj).
💡 Quick Summary
Seeking a career-building opportunity? The Engineering leader position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Kolkata offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.