Software Engineer, Agent Platform

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Software Engineer, Agent Platform in USA new

Anduril Industries
Full time
Email

USA
09/15/2026
Report

Washington, DC

Responsibilities

Own and evolve the internal LLM agent framework, including core abstractions, runtime architecture, developer experience, integrations, and reliability.
Support teams building LLM agents through framework capabilities, implementation guidance, architectural reviews, and best-practice patterns.
Integrate supervised fine-tuning, offline reinforcement learning, online reinforcement learning, and environment-driven agent improvement workflows.
Build 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 covering task success, tool-call correctness, trajectory quality, robustness, regressions, and deployment readiness.
Make pragmatic decisions about emerging agent architecture and evaluation techniques for high-stakes LLM applications.

Requirements

Strong backend engineering experience building production-quality platforms, frameworks, APIs, or infrastructure used by other engineers.
Deep expertise in LLM agent framework design and orchestration patterns, including linear agents, graph-based agents, multi-agent systems, planner/executor loops, and tool-heavy agents.
Experience designing agent evaluation paradigms such as 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 around reliability, observability, debugging, and safety for LLM applications in high-stakes settings.
Ability to work with partner teams, understand ambiguous product needs, and turn them into reusable platform capabilities.
Preferred experience with LangChain DeepAgents, Claude SDK, evaluation platforms, simulation environments, benchmark suites, agent test harnesses, Kubernetes, Docker, distributed systems, workflow orchestration, or ML infrastructure.
Familiarity with defense, robotics, command-and-control systems, autonomy, or operational planning domains is preferred.

Benefits

Full-time employees receive comprehensive competitive benefits available at little to no cost.
Highly competitive equity grants are included in the majority of full-time offers.
The role’s stated base salary range is $220,000—$292,000 USD.

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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