Agentic AI Engineer: Automate Engineering Pipelines

Anduril Industries; Costa Mesa (CA); On-site; USD 220,000 - 292,000; Full time

Job summary

Anduril Industries is seeking an Agentic AI Engineer to automate engineering workflows, build agent-based capabilities, and enable engineers to access data effectively. You will own end-to-end agent pipelines, integrating tools and data across CFD, FEA, thermal, and electromagnetics to accelerate design iterations.

Role emphasizes hands-on ML/AI engineering, with opportunities to mentor peers and drive high-impact projects.

Qualifications

• MS or PhD in aerospace, mechanical, or electrical engineering, computer science, data science, or ML.
• 0-3 years of professional experience, with hands-on agentic AI systems.
• Strong programming in Python and MATLAB; knowledge of Java, Go, or C++.
• Experience with Model Context Protocols, MCP servers.
• Experience building agentic systems, multi-agent orchestration, prompt engineering.
• Experience with data extraction, aggregation, and production data pipelines.
• Proficiency on Linux, with Docker and Kubernetes deployment.
• Eligible to obtain and maintain a U.S. Secret security clearance

Responsibilities

• 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 dashboards for engineers and leadership.
• Build bespoke tooling through agents for engineering sub-disciplines to bring new capability in-house.
• Choose model stages and tune routing, context management, and caching for cost and latency budgets.
• Develop evaluation harnesses, guardrails, and sandboxed execution for safe agent deployment.
• Mentor engineers who are not ML specialists and scope high-impact projects.

Skills

Python

MATLAB

Java

Go

C++

Agentic AI

Multi-agent

Prompt engineering

Data pipelines

Linux

Education

MS/PhD in engineering/CS/ML

Bachelor's with strong experience

Tools

Docker

Kubernetes

MCP servers

Job description

Anduril Industries is seeking an Agentic AI Engineer to automate engineering workflows, build agent-based capabilities, and enable engineers to access data effectively. You will own end-to-end agent pipelines, integrating tools and data across CFD, FEA, thermal, and electromagnetics to accelerate design iterations.

Role emphasizes hands-on ML/AI engineering, with opportunities to mentor peers and drive high-impact projects.