AI Systems Engineer
Anduril Industries · Santa Ana, California, United States
About this role
**Anduril Industries — AI Systems Engineer (Applied LLM Systems Engineer)** ## Team Overview Anduril’s Technical Publications organization supports complex hardware, software, autonomy, and defense systems across multiple divisions and programs. The Product Manager, Technical Writing Systems, owns the authoring and publishing platform. This role builds AI systems that extend that platform so the documentation pipeline can handle more work at lower cost and lower latency. ## Role Specifics As the **Applied LLM Systems Engineer**, you will design, build, and operate **production AI systems** that improve how technical documentation is created, transformed, validated, maintained, and delivered. This is **not** a prompt-writing role. It’s 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**. ## 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 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. - Partner with technical writers, illustrators, engineers, and documentation leadership to identify the highest-value AI opportunities and where human judgment must remain primary. - Preserve **provenance** between source material, generated output, validation results, and human decisions so outputs remain reviewable, correctable, and attributable. ## Required Qualifications - Ability to work **on-site in Santa Ana, CA**. - **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. - Experience optimizing **cost**, **latency**, and **context usage** in production LLM/workflow systems. - Experience designing **evaluation**, **observability**, **rollback**, and **failure-handling** for nondeterministic systems. - Strong proficiency in **Python** and modern API/data/service development practices, including **software architecture**, **security boundaries**, **identity & access management**, and **data protection**. - Sound judgment about where probabilistic AI is appropriate vs. where deterministic software or human review is required. - Must be eligible for **Secret and higher security clearance (US)**. - Subject to **pre-employment and randomized substance screening** (as required by the Company). ## Preferred Qualifications - Experience designing multi-step orchestration/coordination across models, tools, and deterministic services. - Experience with **RAG**, **structured outputs**, **tool calling**, or other production LLM workflow patterns. - Experience
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