Agentic AI Engineer, Automation

Anduril Industries is a defense technology company developing advanced autonomous systems and AI-powered military capabilities. The Agentic AI Engineer will automate engineering workflows by building and deploying agent pipelines, integrating engineering tools and data sources, and enabling faster design, analysis, testing, and iteration. The role also includes developing evaluation and safety controls, optimizing agent performance, and mentoring engineers on effective agent applications.

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
• Mentor engineers who are not ML specialists, and work with them to identify and scope the projects where agents deliver the highest impact

What they're looking for:

• MS or PhD in aerospace, mechanical, or electrical engineering, computer science, data science, or machine learning
• 0-3 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++
• Experience with Model Context Protocols, including building and maintaining MCP servers
• Experience building agentic systems, including multi-agent orchestration, tool calling, prompt engineering, integration into classical software systems and retrieval-augmented generation
• Experience with data extraction, aggregation, and sanitization techniques, and with building production data pipelines from heterogeneous engineering and test sources
• Proficiency developing on Linux, with containerized deployment via Docker and Kubernetes
• Eligible to obtain and maintain a U.S. Secret security clearance
• This role is based onsite in our Costa Mesa, CA office
• Experience deploying LLM applications in accredited or otherwise restricted cloud environments
• Experience with cost and latency optimization at scale, including caching, batching, and prompt and context efficiency
• Experience with structured output, function calling, and prompt optimization at production scale

Benefits:

• Highly competitive equity grants are included in the majority of full time offers and are considered part of Anduril's total compensation package.
• Top-tier benefits for full-time employees, including a comprehensive, competitive benefits package available at little to no cost to employees, supporting health and recovery.