EXPRESSION

Senior AI Platforms Engineer

Washington, DC, US$180,000-$210,000Posted 9 days ago

Job Description

Expression is seeking an experienced Senior AI Platform Engineer to join our Product Team and contribute to the evolution of our Agentic AI platform. We are building an enterprise-grade platform for our National Security and Federal Civilian customers that moves Generative AI from "chatting" to "doing.” This platform is the intelligent backbone for our semi-autonomous agents and the AI governance framework that manages them.

The ideal candidate thrives in a highly technical, collaborative environment and has a strong bias for action. You are comfortable taking ownership, elevating your team through clear communication and solid technical judgment, and continually improving how we build our platform.

Security Clearance

: Eligible to obtain Secret or Top Secret Clearance (U.S citizenship required)

Responsibilities

  • Contribute to the design and evolution of Expression's Agentic AI platform by defining scalable architectures for enterprise AI applications and services, including system architecture, core platform components, tooling, automation, coding standards, and platform performance, scalability, and reliability.
  • Architect, deliver, and optimize production-grade LLM services, agent workflows, orchestration layers, retrieval pipelines, and vector search technologies.
  • Provide technical leadership and mentorship: guide architecture and design reviews, grow engineers, and raise the bar for engineering quality and technical decision-making across the team.
  • Develop high-performance Python APIs and scalable backend services using FastAPI, asynchronous programming techniques, and modern software engineering practices. Set the technical direction and engineering standards for high-performance, scalable backend services and APIs, and champion modern software engineering best practices across the team.
  • Build and maintain the underlying AI platform that supports secure, observable, resilient, and production-ready AI workloads.
  • Design and imple...

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