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Applied LLM Systems Engineer

Anduril· Mission Readiness : Technical Publications : Technical Publications
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Costa Mesa, CA$191k - $254kFull-timePosted 2mo ago

About the role

Role focuses on designing, building, and operating production AI systems to improve how technical documentation is created, transformed, validated, maintained, and delivered. Develops AI-assisted authoring, automated publishing, and multi-agent coordination tooling for the Technical Publications pipeline. Not a prompt-writing role; requires delivering production AI systems with evaluation, rollback, and enterprise-grade safeguards.

Responsibilities

  • Build production-grade LLM applications for documentation and knowledge-work workflows.
  • Design orchestration for multi-step workflows that coordinate models, tools, and deterministic services safely.
  • Optimize context management, token usage, caching, and workflow design for cost, latency, and task success.
  • Build retrieval, structured-output, and tool-integrated systems that safely interact with enterprise content, source control, issue tracking, and documentation systems.
  • Design evaluation frameworks and regression testing for prompts, models, tools, retrieval pipelines, and end-to-end workflows.
  • Establish observability, auditability, rollback, and safe failure modes for AI-assisted workflows.
  • Work directly with technical writers, illustrators, engineers, and documentation leadership to identify the highest-value places to apply AI and where human judgment should remain primary.
  • Preserve provenance between source material, generated output, validation results, and human decisions so outputs remain reviewable, correctable, and attributable.

Qualifications

  • 5+ years of professional software engineering experience, including building and operating production services.
  • Direct experience delivering at least one production AI system with measurable adoption by its intended 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, including software architecture, security boundaries, identity and access management, and data protection.
  • Sound judgment about where probabilistic AI is appropriate and where deterministic software or human review is required.
  • Must be eligible for Secret and higher security clearance (US).
  • In this role, you will be subject to pre-employment and randomized substance screening, as required by the Company.

Skills

Required:Software engineeringProduction AI systemsPythonEvaluation and observability design
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Anduril

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