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Voyager Technologies · 2 days ago

Senior AI Engineer – Agentic Platform Lead

LA Metro Area

Full-time

Onsite

Senior Level

$165K/yr - $250K/yr

5+ years exp

Voyager Technologies is an innovative defense, national security and space technology company committed to advancing and delivering transformative solutions. They are seeking a Senior AI Engineer – Agentic Platform Lead to architect and build a multi-agent platform and lead a team of engineers in developing AI systems that enhance hardware design processes.

AerospaceInfrastructureSpace Travel

No H1B

U.S. Citizen Only

Responsibilities

Architect and own the full stack ACE platform for the Generative Engine, including agent orchestration, execution runtimes, and frontend and backend services

Design and implement distributed systems patterns (e.g., orchestrator–worker, swarms) that coordinate AI agents across the full hardware design lifecycle

Build the secure execution layer where agents can autonomously run code, simulations, and analyses against internal tools and data sources

Design and implement memory, context, and provenance systems (RAG, vector stores, decision logs) so agents can recall and justify prior design decisions

Aggressively profile and optimize system performance, with a focus on latency, reliability, and observability for large numbers of concurrent agents

Lead and mentor a small team of exceptional engineers, scientists, and/or mathematicians setting standards, reviewing code, and growing early-career talent

Collaborate with domain teams (electronics, propulsion, manufacturing) to translate their workflows into scalable agentic capabilities on the platform

Influence long-range technical strategy for ACE and help define how agentic AI is used across Voyager’s engineering stack

Qualification

AI systems designDistributed systemsBackend developmentMicroservice architecturesPythonGoRustLLM-based systemsAgent orchestrationMentoringCollaborationTechnical leadership

Required

Master's degree + 5 years, or PhD + 3 years, in Computer Science, Physics, Mathematics, or a related technical field; or equivalent practical experience

5+ years of experience building production-grade backend or distributed systems in high-throughput or mission-critical environments

Deep experience with modern programming languages such as Python, Go, or Rust, and with microservice architectures, message buses, and containerization

Hands-on experience building or integrating LLM-based systems, including agent orchestration frameworks (e.g., LangGraph, AutoGen, custom runtimes)

Demonstrated 'AI-first' workflow: you routinely use LLMs and agents to accelerate coding, documentation, and testing and have examples of where this 10×'d your output

Proven ability to lead technical projects, mentor other engineers, and make architectural decisions in a fast-paced, highly ambiguous environment