TrueFoundry is a fast-growing Series A startup focused on building cutting-edge AI infrastructure. They are seeking a Staff/Principal Engineer to solve complex engineering problems, drive system design, and lead technical initiatives while collaborating closely with both internal teams and enterprise customers.
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
- Build and scale TrueFoundry's MCP Gateway and Agentic Gateway, enabling secure, reliable, and scalable AI agent interactions
- Design and develop cloud-native, distributed systems that power AI agents, tool integrations, and enterprise AI workloads
- Build core capabilities such as authentication, authorization, routing, observability, security, and multi-tenant infrastructure for the gateway platform
- Collaborate closely with the CTO to shape the technical architecture, product roadmap, and long-term platform vision
- Drive architectural decisions, participate in design and code reviews, and ensure high engineering standards across the platform
- Work closely with enterprise customers to understand their AI infrastructure needs and translate feedback into scalable platform capabilities
- Mentor engineers across teams, helping them build high-quality, reliable, and maintainable systems
- Continuously improve platform performance, reliability, scalability, and developer experience while reducing technical debt
- Stay at the forefront of emerging AI infrastructure, Model Context Protocol (MCP), and agentic systems, bringing new ideas into the product