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Agentic AI Engineer, Automation

Job in Costa Mesa, Orange County, California, 92626, USA
Listing for: AI Chopping Block
Full Time position
Listed on 2026-09-03
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 220000 - 292000 USD Yearly USD 220000.00 292000.00 YEAR
Job Description & How to Apply Below

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center.

As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed,builtand sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into arealtime, 3

Dcommandand control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

About the team

Air Dominance & Strike designs, builds, and flies autonomous air vehicles — from collaborative combataircraftto expendable cruise missiles to counter-UAS interceptors. Our vehicles move from whiteboard to first flight on timelines that traditional primes consider impossible, which means our design cycles live or die on how fast we can close the iteration loop and begin testing. The Anduril AI-Engineering team exists to collapse that loop.

We are engineers first. We work from engineering first principles and unlock capability through machine learning. We are building to scale across design, analysis, test, and program execution, with agent pipelines and tooling that carry across programs.

About the job

We are looking for an Agentic AI Engineer to automate engineering workflows, build new capability through agents, and improve howengineersaccess and act on their data. Our R&D work runs through tools of varying fidelity, from empirical methods and low-order models to high-fidelity solvers. You will chain those tools into automated flows that carry a design through analysis to build and then back into the next iteration.

You will own agent pipelines end to end: orchestration logic, tool and data integrations, evaluation harnesses, and guardrails. Much of the work is getting agents to drive legacy engineering software which were built for human operators rather than programmatic control. You will also use agents to build new tools as programs evolve and requirements change, standing up capability on program timelines rather than software release cycles.

Defense experience is not required. We are looking for engineers who came to machine learning through the problems they were already trying to solve.

This role is basedonsitein our Costa Mesa, CA office.

What You’ll Do

  • Build and deploy multi-agent pipelines that compress the engineering design loop, including automated case setup, batch submission, and post-processing of solver runs across CFD, FEA, thermal, and electromagnetics
  • Design, implement, and evolve how agents interact with classical engineering software: tool calling, prompt engineering, task decomposition, state management, retries, and human-in-the-loop checkpoints,
  • Automate data extraction and aggregation across solvers, test benches, and program systems, and build the dashboards that give engineers and leadership rapid access to their own results
  • Build bespoke tooling through agents for engineering sub-disciplines, including aerodynamics, thermal, GNC, structures, and avionics, that brings new capability in-house
  • Choose which model to run at each stage of agent work, from planning through tool development to execution, and tune routing, context management, and caching…
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