Senior Software Engineer – Core Team

We are looking for a Senior Software Engineer-Core 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

AI Gateway is the control plane: 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.

You will:

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.

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

4-8 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