Agentic AI Engineer, AutomationActive$292K

Anduril Industries is a defense technology company with a mission to transform U. S.

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 so agents run efficiently against token cost and latency budgets

• Build the evaluation harnesses, guardrails, and sandboxed execution needed to: defend agent behavior before it is deployed on a program

What they're looking for

• Mentor engineers who are not ML specialists, and work with them to identify: and scope the projects where agents deliver the highest impact
• MS or PhD in aerospace, mechanical, or electrical engineering, computer: science, data science, or machine learning
• years of professional experience, with demonstrated hands-on work implementing agentic AI systems
• Strong programming skills in Python and MATLAB, and working knowledge of at: least one additional core language such as Java, Go, or C++