Generative AI Integration Engineer

Anduril Industries

Quick summary

Work type: On-site
Location: Costa Mesa, CA
Salary: $191,000–$253,000 / yr
Posted: today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $198k

This role $222k

$140k most similar roles pay here $265k

This role pays more than 66% of similar roles. Most pay $160,000–$235,750 — the shaded band above. At the midpoint, this role pays about $222k versus about $198k 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 1882 open roles on FindRole.

Listed pay typically runs $146,000–$194,000 across 1696 roles with salary data.

Most-posted roles

View all roles at Anduril Industries

At a glance

TL;DR · Generative AI Integration Engineer

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As a Generative AI Integration Engineer at Anduril, you will join the team developing Lattice, an integrated system aimed at enhancing the effectiveness of unmanned vehicles throughout their mission lifecycle. Your role involves designing and implementing solutions that enable seamless interaction between agents and classical software systems, contributing to test infrastructure, deployment software, and prompt engineering for frontier models. You will leverage your deep knowledge of large language models (LLMs) and strong programming skills in Python or other core languages like Java or Go to enhance the performance and scalability of Lattice’s agentic interactions across various domains. Familiarity with C/C++ and experience in motion planning or robotics is a plus, as you work on cutting-edge AI technologies to solve complex military challenges at scale.

Skills

Python Java Go C++ CI/CD LLMs Kubernetes Docker PostgreSQL

What you'll do

Design and implement integration solutions for agents to interact with classical software systems.
Enhance the performance and quality of agentic interaction patterns within the Lattice system.
Develop test and evaluation infrastructure for AI models used in mission lifecycle management.
Engineer deployment software and agent tool calling mechanisms to improve operational efficiency.
Expand the scope of interactions between Agents and the overall Lattice system to cover new domains.

What we're looking for

Demonstrated deep knowledge of large language models (LLMs).
Experience integrating agents into classical software systems.
Strong programming skills in Python or other core languages like Java, Go.
Contribute to test and evaluation infrastructure for AI models.
Expand the interaction surface area between Agents and Lattice system.

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