# Software Engineer, Agent Platform **Company**: Anduril Industries **Location**: Washington, District of Columbia **Experience**: senior **Job type**: full-time **Salary**: $220,000-$292,000 USD **Category**: Engineering **Industry**: Technology **Apply**: https://job-boards.greenhouse.io/andurilindustries/jobs/5174717007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_f3417f5b-405 ## Description Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a real-time, 3D command and control center. ### About the Team Anduril's Lattice software platform integrates many sensors into a single cohesive view of the world, providing needed context for 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. ### About the Job Frontier AI is looking for a backend software engineer to own and evolve its 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 - 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 calls, 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. ### Benefits Anduril offers a comprehensive, competitive benefits package, including top-tier benefits for full-time employees. ## Skills ### Required - backend engineering - LLM agent framework design - agent evaluation paradigms - model post-training workflows - reliability engineering - collaboration ### Nice to have - agent frameworks - evaluation platforms - simulation environments - Kubernetes - Docker - distributed systems - workflow orchestration - ML infrastructure - defense - robotics - command-and-control systems - autonomy - operational planning domains --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/andurilindustries/jobs/5174717007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)