AI Systems Engineer

Anduril Industries

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Ana, CA
Salary
$191,000–$253,000 / yr
Posted
14 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $175k
This role $222k
$116k most similar roles pay here $268k

This role pays more than 85% of similar roles. Most pay $137,132–$211,900 — the shaded band above. At the midpoint, this role pays about $222k versus about $175k for comparable roles.

Based on 240 similar postings.

Employer

About Anduril Industries

Anduril Industries is a defense technology company that builds advanced hardware and software systems for national security, including autonomous drones, surveillance systems, and the Lattice AI command platform.

Anduril Industries currently has 1697 open roles on FindRole.

Listed pay typically runs $146,000–$194,000 across 1504 roles with salary data.

Most-posted roles

View all roles at Anduril Industries

At a glance

TL;DR · AI Systems Engineer

As an AI Systems Engineer within the Technical Publications organization, you will design, build, and operate production AI systems to enhance how technical documentation is created, validated, and delivered. You will develop AI-assisted authoring tools, automated publishing pipelines, and multi-agent coordination systems to improve efficiency in the documentation workflow. Your daily work involves building production-grade LLM applications, managing context and token usage, and designing evaluation frameworks for non-deterministic systems. The role requires proficiency in Python, modern API development, and software architecture while ensuring security boundaries and data protection. You will solve complex problems regarding how to integrate probabilistic AI into high-stakes environments requiring structured content and strict review requirements. Key technical skills include experience with retrieval-augmented generation, tool calling, containerized services, and cloud infrastructure to manage the lifecycle of automated documentation systems.

What you'll do

  • Build production-grade LLM applications for documentation and knowledge-work workflows.
  • Design orchestration for multi-step workflows coordinating models, tools, and deterministic services.
  • Optimize context management, token usage, and caching to manage costs and latency at scale.
  • Develop retrieval, structured-output, and tool-integrated systems that interact with enterprise content and source control.
  • Create evaluation frameworks and regression testing for prompts, models, and end-to-end workflows.
  • Establish observability, auditability, and safe failure modes for AI-assisted processes.
  • Maintain provenance between source material, generated output, and human decisions to ensure reviewable results.

What we're looking for

  • Ability to work on-site in Santa Ana, CA.
  • 5+ years of professional software engineering experience building and operating production services.
  • Direct experience delivering at least one production AI system with measurable adoption by users.
  • Experience optimizing cost, latency, and context usage in production LLM or workflow systems.
  • Experience designing evaluation, observability, rollback, and failure-handling for nondeterministic systems.
  • Strong proficiency in Python and modern API, data, and service-development practices.
  • Must be eligible for Secret and higher security clearance (US).
  • Subject to pre-employment and randomized substance screening.

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