Applied LLM Systems Engineer

Andurils Technical Publications organization supports complex hardware software autonomy anddefense systems across multiple divisions business lines and programs. The Product Manager TechnicalWriting Systems owns the authoring and publishing platform. This role builds the AI systems that extendthat platform so the documentation pipeline handles more work at lower cost and lower latency.

As the Applied LLM Systems Engineer your mission is to design build and operate production AI systems that improve how technical documentation is created transformed validated maintained and delivered. You will build and maintain AI-assisted authoring automated publishing and multi-agent coordination tooling for the Technical Publications pipeline. This is not a prompt-writing role. It is a systems-engineering role for someone who has already delivered production AI systems understands evaluation and rollback and knows how to make probabilistic systems useful in enterprise environments with structured content strict review requirements security boundaries and real operational consequences. The right candidate can expand system capability while managing token usage context efficiency and cost at scale.

• 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.

• 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.

• Experience designing multi-step orchestration or coordination systems across models tools and deterministic services.
• Experience with retrieval-augmented generation structured outputs tool calling or other production LLM workflow patterns.
• Experience integrating AI capabilities into desktop or enterprise applications with limited native APIs.
• Experience in defense aerospace manufacturing robotics autonomy aviation or another regulated environment.
• Familiarity with technical documentation structured authoring content management or comparable documentation-heavy workflows.
• Familiarity with S1000D DITA MIL-STD-40051 or comparable documentation frameworks.
• Experience with containerized services cloud infrastructure CI/CD queues event-driven architectures or production monitoring.

The salary range for this role is an estimate based on a wide range of compensation factors inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience education and/or training critical skills and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Andurils total compensation package. Additionally Anduril offers top-tier benefits for full-time employees including:

At Anduril we invest in our people. Our comprehensive competitive benefits package (available at little to no cost to employees) ensures youre supported in health recovery and whatever comes next.For more information Explore Our Benefits.

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