Principal AI Platform Engineer — Agentic Systems

United States Digital Space LLC

San Francisco (CA)

On-site

USD 210,000 - 290,000

Full time

14 days+

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Job summary

United States Digital Space LLC is seeking a core technical leader to shape the next-generation Agentic AI platform. You will drive architecture for autonomous workflows, enabling AI agents to reason, act, coordinate, and safely execute complex enterprise tasks.

You will collaborate with Product, Applied Research and leadership to deliver production-grade systems. You will mentor engineers, raise the engineering bar, and define standards for an AI-native SDLC, while advancing real-time voice and

Qualifications

  • 10+ years of software engineering with leadership experience shipping large-scale systems.
  • Strong foundations in scaling distributed systems and production-grade infrastructure.
  • Ability to lead and grow a small team of engineers.
  • Experience with LLM platforms, inference optimization, and agent architectures.
  • Expertise in data retrieval, memory architectures, and AI safety/observability.

Responsibilities

  • Define architectural strategy and delivery for the Agentic AI platform.
  • Design scalable, multi-modal AI agents for autonomous support and real-time reasoning.
  • Mentor senior engineers and set technical standards for an AI-native SDLC.
  • Collaborate with Product, Research, and Design to align execution with strategy.
  • Research and implement advanced agent frameworks and safety guardrails.

Skills

Technical leadership
Distributed systems
LLM platforms
Agent frameworks
Real-time infra
Tool integration

Tools

LangChain
LangGraph
CrewAI
AWS Agent
Google Agent

Job description

United States Digital Space LLC is seeking a core technical leader to shape the next-generation Agentic AI platform. You will drive architecture for autonomous workflows, enabling AI agents to reason, act, coordinate, and safely execute complex enterprise tasks.

You will collaborate with Product, Applied Research and leadership to deliver production-grade systems. You will mentor engineers, raise the engineering bar, and define standards for an AI-native SDLC, while advancing real-time voice and

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