Agentic AI Engineer, Automation
AI summary of the role
Anduril's Air Dominance & Strike division seeks an Agentic AI Engineer to automate engineering workflows by building multi-agent pipelines that compress the design loop for autonomous air vehicles.
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 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 dashboards for engineers and leadership
- Build bespoke tooling through agents for engineering sub-disciplines (aerodynamics, thermal, GNC, structures, avionics)
What you’ll bring
- MS or PhD in aerospace, mechanical, or electrical engineering, computer science, data science, or machine learning
- 0-3 years of professional experience with hands-on implementation of agentic AI systems
- Strong programming in Python and MATLAB, plus working knowledge of Java, Go, or C++
- Experience with Model Context Protocols (building/maintaining MCP servers)
Technologies
Python · MATLAB · Java · Go · C++ · Model Context Protocol · MCP servers · multi-agent orchestration · tool calling · prompt engineering · retrieval-augmented generation · Docker
About Anduril
Builds autonomous defense systems (drones, subs, sensors) unified by Lattice OS, an AI command-and-control layer sold to US/allied militaries.
Private Late
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