Agentic AI Engineer: Automate Design Loops (Costa Mesa Onsite)

AI Chopping Block; Costa Mesa, Northern (CA, KY); Hybrid; USD 220,000 - 292,000; Full time

Job summary

Anduril Industries is seeking an Agentic AI Engineer to automate engineering workflows, build multi-agent capabilities, and improve how engineers access and act on data. You will own end-to-end pipelines, orchestrate tool interactions, and develop evaluation harnesses with guardrails across CFD, FEA, and other disciplines.

You will work onsite in Costa Mesa, CA, mentoring engineers and collaborating across aerodynamics, thermal, GNC, structures, and avionics to deploy scalable AI tooling and

Qualifications

• 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

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 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

Skills

Python programming

MATLAB

C++

Linux

Agentic AI

Education

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

Tools

Docker

Kubernetes

MCP servers

Job description

Anduril Industries is seeking an Agentic AI Engineer to automate engineering workflows, build multi-agent capabilities, and improve how engineers access and act on data. You will own end-to-end pipelines, orchestrate tool interactions, and develop evaluation harnesses with guardrails across CFD, FEA, and other disciplines.

You will work onsite in Costa Mesa, CA, mentoring engineers and collaborating across aerodynamics, thermal, GNC, structures, and avionics to deploy scalable AI tooling and