Agentic AI Engineer, Automation

Anduril Industries

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Costa Mesa, CA
Salary: $220,000–$292,000 / yr
Posted: 38 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $187k

This role $256k

$127k most similar roles pay here $310k

This role pays more than 90% of similar roles. Most pay $149,875–$224,250 — the shaded band above. At the midpoint, this role pays about $256k versus about $187k for comparable roles.

Based on 240 similar postings.

Employer

About Anduril Industries

Anduril Industries is a defense technology company that builds advanced hardware and software systems for national security, including autonomous drones, surveillance systems, and the Lattice AI command platform.

Anduril Industries currently has 866 open roles on FindRole.

Listed pay typically runs $166,000–$220,000 across 837 roles with salary data.

Most-posted roles

View all roles at Anduril Industries

At a glance

TL;DR · Agentic AI Engineer, Automation

Role Posting Log in to save

Agentic AI Engineer, Automation joins the Air Dominance & Strike team to automate engineering workflows and build new capabilities through agent pipelines. You will develop multi-agent systems to compress the design loop by automating case setup, batch submission, and post-processing for CFD, FEA, thermal, and electromagnetics solvers. The role involves integrating agents with legacy engineering software, managing tool calling, prompt engineering, and state management while building evaluation harnesses and guardrails. You will utilize Python, MATLAB, and additional languages like Java, Go, or C++ to build production data pipelines from heterogeneous sources. Technical requirements include experience with Model Context Protocols, Docker, Kubernetes, and Linux environments. The work focuses on solving complex aerospace problems by automating data extraction across test benches and building bespoke tools for aerodynamics, GNC, structures, and avionics within a defense technology context.

Skills

Python MATLAB Go C++ Java LLM Docker Kubernetes Linux Prompt Engineering Multi-agent Orchestration Model Context Protocol Knowledge Graphs Data Pipelines

What you'll do

Build multi-agent pipelines to automate engineering design loops including case setup, batch submission, and post-processing for various solvers.
Develop logic for agents to interact with legacy engineering software through tool calling, prompt engineering, and task decomposition.
Automate data extraction and aggregation from test benches and program systems to create accessible dashboards for leadership.
Create bespoke tools using agents for specific sub-disciplines like aerodynamics, thermal, GNC, structures, and avionics.
Optimize agent performance by selecting appropriate models and managing routing, context, and caching against cost and latency budgets.
Develop evaluation harnesses, guardrails, and sandboxed environments to ensure safe agent behavior before deployment.
Mentor non-ML engineers to identify and scope high-impact projects for agent integration.

What we're looking for

MS or PhD in aerospace, mechanical, 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, plus working knowledge of Java, Go, or C++.
Experience with Model Context Protocols, including building and maintaining MCP servers.
Experience building agentic systems involving multi-agent orchestration, tool calling, prompt engineering, and retrieval-augmented generation.
Experience with data extraction, aggregation, and sanitization from heterogeneous sources to build production pipelines.
Proficiency developing on Linux with containerized deployment via Docker and Kubernetes.
Eligible to obtain and maintain a U.S. Secret security clearance.

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