Principal Staff Engineer

TrueFoundry; Bengaluru; Hybrid; INR 4,500,000 - 7,500,000; Full time

Benefits offered by this job

Health insurance

Hybrid work

Lunch snacks

Office flexibility

Job summary

TrueFoundry in Bengaluru is seeking a Staff/Principal Engineer to join the team to build a robust AI infrastructure control plane and drive architectural decisions.

You will own system design, collaborate with ML researchers, and lead technical discussions with customers, guiding engineers across projects in multiple regions.

Qualifications

• 8+ years of backend/systems engineering experience at top tech companies or startups.
• Deep expertise in distributed systems, cloud-native architectures, and scalable design.
• Strong technical leadership and communication skills for customers and engineering teams.
• Experience with Kubernetes, containerized workloads, and infrastructure engineering.

Responsibilities

• Solve complex engineering problems with a team of engineers and ML researchers.
• Build a deep understanding of the TrueFoundry platform and shape product vision.
• Serve as the technical face for customer discussions and escalations.
• Guide engineers across projects in the US region and unblock work.
• Collaborate with the CTO on architecture, scaling strategies, and roadmaps.
• Lead design reviews, code reviews, and critical incident responses.

Skills

Distributed systems

Kubernetes

Python

Golang

TypeScript

Node.js

Observability

SRE practices

Backend engineering

Job description

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 are looking for a Staff/Principal Engineer 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:

• 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

AI Gateway is the control plane of five composable components (Prompts, LLM Gateway, MCP Gateway, Guardrails, Agent Gateway) that handle routing, orchestration, and governance.

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.

Key Responsibilities:

• Solve some of the most complex Engineering problems and drive it alongside a team of engineers & ML researchers.


• Build a deep, holistic understanding of the TrueFoundry platform across all components and shape the product vision and implementation.


• Act as the technical face of engineering for customer-related discussions and escalations


• Guide and unblock engineers across projects in the US region


• Partner closely with our CTO and India-based engineering team to drive system design, architecture, and implementation of complex products


• Lead technical design, critical customer problem-solving, and platform scalability initiatives end-to-end

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:

• Develop deep expertise across TrueFoundry’s platform stack: infrastructure, deployment systems, LLM/ML orchestration, observability, cost optimization, and more


• Drive the system architecture and design for complex, distributed, cloud-native systems


• Act as the technical point-of-contact for enterprise customer engineering needs and escalations


• Lead and participate in design reviews, code reviews, and critical incident responses


• Collaborate closely with the CTO on architectural decisions, scaling strategies, and technical roadmap prioritization


• Identify and drive technical debt cleanup, performance improvements, and resilience upgrades across the platform


• Bring a product engineering mindset, ensuring that customer needs and feedback translate into scalable engineering solutions

Who You Are:

• 8+ years of strong backend/systems engineering experience at top technology companies or startups


• Deep expertise in distributed systems, cloud-native architectures, and scalable system design


• Strong working knowledge of Kubernetes, containerized workloads, and infrastructure engineering


• Practical experience building or deploying ML/GenAI applications (or closely working with ML/DS teams)


• Skilled in programming languages such as Python, Golang, TypeScript, and Node.js


• Solid understanding of system observability, resiliency design, and SRE practices


• Strong technical leadership and communication skills — able to work with both customers and engineering teams


• Ability to think strategically while also executing hands‑on when required

Perks of Working at TrueFoundry

• Join a fast-growing Series A, Bay Area-based startup building cutting-edge AI infrastructure.


• Comprehensive health insurance for you and your family.


• Flexible hybrid work, 3 days a week in the office (Tuesday, Wednesday and Thursday), with flexibility around the schedule.


• Lunch and snacks are on us whenever you come into the office.


• Work from another TrueFoundry office for up to 3 months each year, whether that's our London or Bay Area office, if you’d like a change of scenery.