Agentic AI Engineer: Automated Design Pipelines

Anduril; Costa Mesa (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Anduril is seeking an Agentic AI Engineer in Costa Mesa, CA to automate engineering workflows and build agent-powered capabilities. You will connect legacy tools to modern ML workflows and drive design iterations using agents across CFD, FEA, thermal, and electromagnetics.

This role emphasizes building end-to-end agent pipelines, tool integrations, and guardrails while mentoring engineers who are not ML specialists. Defense experience is not required.

Qualifications

• MS or PhD in aerospace, mechanical, electrical engineering, CS, data science or ML.
• 0–3 years of professional experience with agentic AI systems.
• Strong Python and MATLAB skills; knowledge of Java/Go/C++.
• Experience with Model Context Protocols and related tooling.

Responsibilities

• Build multi-agent pipelines that compress the engineering design loop across CFD, FEA, thermal, and electromagnetics.
• Evolve how agents interact with engineering software: tool calling, prompts, and task decomposition.
• Automate data extraction from solvers and build dashboards for engineers and leadership.
• Create bespoke tooling through agents for aerodynamics, thermal, GNC, structures, and avionics.
• Choose models at each stage and optimize routing, context, and caching for efficiency.
• Develop evaluation harnesses, guardrails, and sandboxed execution for safe deployment.
• Mentor engineers and identify projects where agents deliver high impact.

Skills

Python

MATLAB

Java/Go/C++

ML/AI

Education

MS or PhD in aerospace / mechanical / electrical engineering, computer science, data science, or ML

Job description

Anduril is seeking an Agentic AI Engineer in Costa Mesa, CA to automate engineering workflows and build agent-powered capabilities. You will connect legacy tools to modern ML workflows and drive design iterations using agents across CFD, FEA, thermal, and electromagnetics.

This role emphasizes building end-to-end agent pipelines, tool integrations, and guardrails while mentoring engineers who are not ML specialists. Defense experience is not required.