Software Engineer, Agent Platform

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Software Engineer, Agent Platform in USA

Anduril Industries
Full time
Email

USA
10/21/2026
Report

Washington, DC

Responsibilities

Own and evolve the internal LLM agent framework, including core abstractions, runtime architecture, developer experience, integrations, and reliability.
Provide framework capabilities, implementation guidance, architectural reviews, and best-practice patterns to teams building LLM agents.
Integrate supervised fine-tuning, offline reinforcement learning, online reinforcement learning, and environment-driven agent improvement workflows.
Design tooling for structured tool calling, filesystem-using agents, memory and retrieval, planning loops, subagents, agent graphs, and human-in-the-loop workflows.
Define evaluation suites measuring task success, tool-call correctness, trajectory quality, robustness, regressions, and deployment readiness.
Track emerging agent architecture and evaluation trends and make pragmatic internal adoption decisions.

Requirements

Strong backend engineering experience building production-quality platforms, frameworks, APIs, or infrastructure used by other engineers.
Deep expertise designing LLM agent frameworks and evaluating orchestration patterns such as linear agents, graph-based agents, multi-agent systems, planner/executor loops, and tool-heavy agents.
Experience designing agent evaluation methods, including trajectory evaluations, LLM-as-judge workflows, task-success metrics, tool-call correctness checks, rubric-based grading, adversarial testing, regression suites, and human review.
Familiarity with model post-training workflows including supervised fine-tuning, preference tuning, reinforcement learning, and environment-based agent training.
Strong judgment regarding reliability, observability, debugging, and safety for LLM applications in high-stakes settings.
Ability to work with partner teams, clarify ambiguous product needs, and turn them into reusable platform capabilities.
Preferred: experience with Langchain Deepagents or Claude SDK.
Preferred: experience building evaluation platforms, simulation environments, benchmark suites, or agent test harnesses.
Preferred: experience with Kubernetes, Docker, distributed systems, workflow orchestration, or ML infrastructure.
Preferred: familiarity with defense, robotics, command-and-control, autonomy, or operational planning domains.

Benefits

Full-time employees receive comprehensive competitive benefits available at little to no cost.
The role offers a base salary range of $220,000—$292,000 USD.
Highly competitive equity grants are included in the majority of full-time offers.
The posting does not state a work arrangement or location schedule.

Salary: $220k - $292k/yr

Anduril Industries

Anduril Industries builds advanced autonomous systems designed to enhance military awareness and security across land, sea, and air. Targeting defense agencies and allied military forces, it leverages its proprietary Lattice platform to drive innovation in military capabilities. What sets Anduril...

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