Software Engineer, Agent Platform

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

Benefits offered by this job

Equity grants

Competitive benefits package

Performance incentives

Job summary

Anduril Industries is seeking a backend software engineer to own and evolve the internal LLM agent framework within the Frontier AI team. You will design, implement, and improve the platform that enables teams to build, evaluate, and deploy reliable LLM agents in mission-critical environments.

The role sits at the intersection of backend infrastructure, AI, agent architecture, model post-training, and evaluation tooling.

Qualifications

• Production-grade backend platforms experience.
• Designing LLM agent frameworks and evaluation methods.
• Experience with model post-training workflows (SFT, RL).
• Reliability, observability, and safety mindset for high-stakes apps.
• Ability to translate ambiguous product needs into reusable platform capabilities.

Responsibilities

• Own and evolve Anduril’s internal LLM agent framework, including core abstractions and runtime architecture.
• Provide framework capabilities and architectural guidance to multiple business lines.
• Collaborate with ML teams on post-training workflows (SFT, RL, environment-driven updates).
• Design tooling for agent patterns (tool calling, memory, planning, subagents, agent graphs).
• Define evaluation suites for task success, tool calls, trajectory quality, robustness and deployment readiness.
• Stay current on agent architecture trends and pragmatic internal adoption decisions.

Skills

Backend framework design

LLM agent framework

Model post-training workflows

Reliability & observability

Cross-functional collaboration

Tools

Kubernetes

Docker

Job description

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:

Benefits

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.

Data Privacy

To view Anduril’s candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.

By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.