Software Engineer, Agent Platform

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

Job summary

Anduril Industries is seeking 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. Responsibilities include owning core framework abstractions, supporting multiple business lines, and

Qualifications

• Strong backend engineering experience building production-quality platforms, APIs, or infrastructure used by other engineers.
• Deep expertise in LLM agent framework design and orchestration patterns (linear, graph, multi-agent).
• Experience designing agent evaluation paradigms (trajectories, rubric grading, human-in-the-loop).
• Familiarity with model post-training workflows such as SFT, RL, and environment-based training.
• Strong judgement around reliability, observability, debugging, and safety for LLM apps in high-stakes settings.
• Ability to work with partner teams, translate needs into reusable platform capabilities.

Responsibilities

• Own Anduril’s internal LLM agent framework, including core abstractions, runtime, and reliability.
• Support multiple business lines by providing new framework capabilities and architectural reviews.
• Partner with ML teams to streamline model post-training workflows (supervised fine-tuning to RL).
• Design tooling for modern agent patterns: tool calling, memory, planning loops, and subagents.
• Build comprehensive evaluation suites: task success, tool-calls, trajectory quality, regressions.
• Stay current on agent architecture trends and pragmatic adoption decisions.

Skills

Backend engineering

LLM agent design

Model post-training

Observability & reliability

Cross-team 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.

Salary Range

$220,000—$292,000 USD

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. 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.