Principal Engineer - Infrastructure Platform Job Boston area,Massachusetts USA,Software Development

We’re partnered with a fast-scaling healthcare technology company building modern infrastructure that improves healthcare delivery and patient outcomes at scale.

They’re now looking for a Principal AI Agent Platform Engineer to help design, build, and scale the infrastructure powering production AI agents across their engineering organization.

The role will involve building agent runtimes, SDKs, developer tooling, and cloud-native infrastructure that enables teams to develop, deploy, and operate AI-powered applications. You'll play a key role in shaping platform architecture, reliability, security, and developer experience while remaining hands‑on with production code.

What’s on offer

Competitive base salary + bonus + benefits
US-based opportunity, with a focus on Boston, New York, and Washington DC
High-impact ownership and strong technical influence
Opportunity to build and shape a production AI agent platform
Work at the intersection of AI infrastructure, distributed systems, and developer tooling

What You’ll Do

Design, build, and operate the core AI agent platform, including runtimes, SDKs, templates, and developer workflows
Build and scale cloud‑native infrastructure, working closely with SRE on IaC, security, networking, and production reliability
Develop evaluation frameworks, guardrails, observability, and resilience patterns for production LLM and agent systems
Set technical standards across platform architecture, engineering practices, and AI development
Partner with engineering teams to build and deploy AI agents, turning complex use cases into reusable platform capabilities
Own production reliability through SLOs, monitoring, incident response, and operational improvements

Requirements

Proven track record building and operating platforms adopted by multiple engineering teams
Deep experience with cloud‑native distributed systems, data infrastructure, and service architecture
Strong hands‑on infrastructure experience across cloud environments, IaC, and production systems
Strong software engineering skills in Python, Go, Type Script, or Rust
Experience building developer tooling, SDKs, internal platforms, or developer productivity solutions
Strong architectural judgment, technical leadership, and end-to-end ownership
Experience with AWS and Kubernetes is advantageous
Production experience with LLMs, AI agents, evaluation frameworks, or AI infrastructure is highly desirable but not essential - strong platform engineers with a genuine interest in AI are encouraged to apply