Staff AI Engineer: Agentic Systems & Automation

Anduril Industries, Inc.

Costa Mesa (CA)

On-site

USD 220,000 - 292,000

Full time

5 days ago
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Job summary

Anduril Industries is seeking a Staff Software Engineer to join the Internal AI team in Costa Mesa, CA. You will prototype and deploy agentic AI systems, build data pipelines, and maintain model-serving components to support real-world defense projects.

You will collaborate with business lines across Anduril to scope solutions, evangelize AI technologies, and own end-to-end implementations from idea to production. A strong AI mindset and production experience are required.

Qualifications

  • An AI mindset and enthusiasm for emerging AI technologies and their practical implementations.
  • Creative problem-solving to simplify workflows into modular automation.
  • Strong stakeholder and cross-functional communication skills; gather requirements and translate to automation.
  • 1–2 years of AI systems in production or 2–4 years of ML experience in production.
  • Degree in Computer Science, Information Systems, Electrical Engineering or related technical degree.

Responsibilities

  • Propose, prototype, build, and deploy agentic AI systems for real-world problems.
  • Collaborate cross-functionally with business lines to scope new AI solutions.
  • Build and maintain data pipelines, feature workflows, and model-serving components.

Skills

AI mindset
Creative problem-solving
Communication skills
Production AI experience
CS/EE degree

Education

Degree in Computer Science / Information Systems / Electrical Engineering or related technical degree

Tools

AI coding assistants
Cloud services

Job description

Anduril Industries is seeking a Staff Software Engineer to join the Internal AI team in Costa Mesa, CA. You will prototype and deploy agentic AI systems, build data pipelines, and maintain model-serving components to support real-world defense projects.

You will collaborate with business lines across Anduril to scope solutions, evangelize AI technologies, and own end-to-end implementations from idea to production. A strong AI mindset and production experience are required.

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