AI Systems Engineer
$191k - $253k • Santa Ana, California, United States
Posted 12d ago
Job Location
Santa Ana, California, United States
Tech Stack
Remote Work Policy
On-site
Categories
Applied AI Engineer
About the job
Anduril Industries is seeking an Applied LLM Systems Engineer to design, build, and operate production AI systems that enhance the creation, transformation, validation, maintenance, and delivery of technical documentation. This role focuses on building AI-assisted authoring, automated publishing, and multi-agent coordination tools for the Technical Publications pipeline. It requires a systems-engineering approach to deploying AI in enterprise environments with structured content, strict review requirements, and operational consequences, managing factors like token usage, context efficiency, and cost at scale.
Responsibilities
- 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 for safe interaction 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.
- Collaborate with technical writers, illustrators, engineers, and documentation leadership to identify high-value AI applications and areas for human judgment.
- Preserve provenance between source material, generated output, validation results, and human decisions for reviewability, correctability, and attribution.
Requirements
- 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 user adoption.
- 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, IAM, and data protection.
- Sound judgment regarding appropriate use of probabilistic AI versus deterministic software or human review.
- Eligibility for Secret and higher security clearance (US).
- Subject to pre-employment and randomized substance screening.
Benefits
- Highly competitive equity grants
- Top-tier benefits