Software Engineer, Agent Platform

Anduril
Washington
Workplace: OnsiteFull timeUSD 220,000 - 292,000 annuallyFunction: Software EngineeringSkills: ["Collaboration","Communication","Problem-solving","Systems thinking","Debugging"]

Backend-focused role building and evolving Anduril's internal LLM agent framework. You’ll design scalable infrastructure, integrate model post-training workflows, and create tooling for advanced agent patterns to deploy reliable, high-stakes AI in mission-critical environments.

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Anduril
Anduril
2 months ago

Software Engineer, Agent Platform

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Backend-focused role building and evolving Anduril's internal LLM agent framework. You’ll design scalable infrastructure, integrate model post-training workflows, and create tooling for advanced agent patterns to deploy reliable, high-stakes AI in mission-critical environments.
Location: Washington
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key 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 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.

Pay and Benefits

Salary: USD 220,000 - 292,000 annually

Key Requirements

  • •Strong backend engineering experience building production-quality platforms, frameworks, APIs, or infrastructure used by other engineers.
  • •Deep expertise in LLM agent framework design, including 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.
Experience:DefenseAILLMAutonomy
Skills:CollaborationCommunicationProblem-solvingSystems thinkingDebugging
Languages:English
Tech Stack:KubernetesDockerLangChainDeepAgentsClaude SDKLLMSFTRLOffline RLOnline RL

Company Brief

Anduril
Designs and builds advanced defense systems combining autonomous aircraft, sensors, and AI-driven software for military and national security applications, focused on modernizing battlefield capabilities and distributed sensing.
Industry: Defense Technology
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: Costa Mesa, United States
Founded: 2017
WebsiteLinkedIn