Software Engineer, Agent Platform

Anduril Industries, Inc.; Washington (District of Columbia); On-site; USD 220,000 - 292,000; Full time

Benefits offered by this job

Equity grants

Health benefits

Job summary

Anduril Industries in Washington, DC is seeking a backend software engineer to own and evolve our internal LLM agent framework. You will shape core abstractions, runtime architecture, and developer experiences used across engineering teams to build, evaluate, and deploy reliable LLM agents in mission-critical settings.

You will partner with ML teams on model post-training workflows and design tooling for advanced agent patterns, ensuring robust evaluation and deployment readiness.

Qualifications

• Backend engineering experience building production-quality platforms.
• Expertise in LLM agent framework design and orchestration patterns.
• Experience designing agent evaluation paradigms and rubric-based assessment.
• Familiarity with model post-training workflows (SFT, RL, etc.).
• Strong reliability, observability, and safety judgment for high-stakes deployments.
• Ability to translate ambiguous product needs into reusable platform capabilities.

Responsibilities

• Own Anduril’s internal LLM agent framework, including core abstractions and runtime architecture.
• Provide new framework capabilities and architectural guidance to multiple business lines.
• Collaborate with ML teams on model post-training workflows and evaluation.
• Design tooling for modern agent patterns: memory, retrieval, planning loops, subagents, agent graphs.
• Define comprehensive evaluation suites for task success, tool-calling accuracy, and deployment readiness.
• Stay current on agent architecture trends and advise pragmatic adoption decisions.

Skills

Backend engineering

LLM agent design

Evaluation frameworks

Post-training workflows

Reliability & safety

Team collaboration

Tools

Kubernetes

Docker

Distributed systems

Workflow orchestration

ML infrastructure

Job description

Washington, District of Columbia, United States

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

ABOUT THE TEAM

Anduril’s Lattice software platform integrates together many sensors into a single cohesive view of the world, providing needed context for our users. Anduril’s Frontier AI team builds edge-compatible, generative AI systems into the Lattice software platform to provide features and products that improve autonomy and reduce cognitive burden on the warfighter. Specific applications include but are not limited to automating mission planning, battle-space understanding, voice-control of assets, and enabling higher-levels of autonomy.

ABOUT THE JOB

Frontier AI is looking for a backend software engineer to own and evolve our internal LLM agent framework. This role sits at the intersection of backend infrastructure, applied AI, agent architecture, model post-training, and evaluation tooling. You will build the platform that enables teams across Anduril to develop, evaluate, and deploy reliable LLM agents in mission-critical environments.

WHAT YOU’LL DO

• Own Anduril’s internal LLM agent framework, including core abstractions, runtime architecture, developer experience, integrations, and reliability.
• Support multiple business lines building LLM agents by providing new framework capabilities, implementation guidance, architectural reviews, and best-practice patterns.
• Partner with machine learning teams to make model post-training workflows easy to integrate, ranging from supervised fine-tuning to offline RL, online RL, and environment-driven agent improvement.
• Design tooling that supports modern agent patterns, including structured tool calling, filesystem-using agents, memory and retrieval, planning loops, subagents, agent graphs, and human-in-the-loop workflows.
• Work with partner teams to define comprehensive evaluation suites that measure task success, tool-call correctness, trajectory quality, robustness, regressions, and deployment readiness.
• Stay current on emerging agent architecture and evaluation trends, and make pragmatic decisions about which techniques should or should not be adopted internally.

REQUIRED QUALIFICATIONS

• Strong backend engineering experience building production-quality platforms, frameworks, APIs, or infrastructure used by other engineers.
• Deep expertise in LLM agent framework design, including the tradeoffs between different orchestration patterns such as linear agents, graph-based agents, multi-agent systems, planner/executor loops, and tool-heavy agents.
• Experience designing agent evaluation paradigms, including trajectory evaluations, LLM-as-judge workflows, task-success metrics, tool-call correctness checks, rubric-based qualitative grading, adversarial scenario testing, regression eval suites, and human-in-the-loop review.
• Familiarity with model post-training workflows such as SFT, preference tuning, reinforcement learning, and environment-based agent training.
• Strong judgment around reliability, observability, debugging, and safety for LLM applications deployed in high-stakes settings.
• Ability to work directly with partner teams, understand ambiguous product needs, and turn them into reusable platform capabilities.

PREFERRED QUALIFICATIONS

• Experience with agent frameworks like Langchain Deepagents, Claude SDK, etc.
• Experience building evaluation platforms, simulation environments, benchmark suites, or agent test harnesses.
• Experience with Kubernetes, Docker, distributed systems, workflow orchestration, or ML infrastructure.
• Familiarity with defense, robotics, command-and-control systems, autonomy, or operational planning domains.

US Salary Range

$220,000 - $292,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits .

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Anduril Industries’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.