Principal Staff Software Engineer

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:

• 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, 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 based in the United States.

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
- Guide and mentor
US-based engineers
across multiple initiatives, helping them deliver high-quality, scalable systems
- 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
,
Go
, or
typescript
- 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

Bonus: Experience supporting enterprise deployments of
AI/ML infrastructure
,
model training
, or
inference systems

Why Join TrueFoundry?

- Work directly with
ex-Facebook engineers
and
founders from IIT Kharagpur, UC Berkeley.
- First-hand exposure to building and scaling a
deep-tech startup
insights you’ll carry if you want to start your own one day.
- Be part of a
fearlessly experimental culture
focused on customer success and long-term impact.
- Flexible hours, learning credits, and the opportunity to work
shoulder-to-shoulder with the co-founders
(Abhishek & Nikunj).