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Software Engineer, Agent Platform

4 hours, 2 minutes ago
United States
Full-time
Senior
Software Engineer
Software Development
Docker Kubernetes
Apply Now
Anduril Industries

Anduril Industries

Anduril Industries is an American defense technology firm that specializes in developing advanced autonomous systems for integrated awareness and security across land, sea, and air, utilizing its proprietary Lattice platform to enhance intelligence, su...

Aerospace & Defense
1K-5K
Founded 2017
$2200M raised
View All Jobs 772

Description

  • 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 framework capabilities, implementation guidance, architectural reviews, and best-practice patterns.
  • Partner with machine learning teams to integrate model post-training workflows, from supervised fine-tuning to offline RL, online RL, and environment-driven improvement.
  • Design tooling for 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 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 what to adopt internally.
  • Build the platform capabilities needed for teams across Anduril to develop, evaluate, and deploy LLM agents.
  • Collaborate directly with partner teams to translate ambiguous product needs into reusable platform solutions.

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 the tradeoffs between 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.
  • Experience with agent frameworks like Langchain Deepagents or Claude SDK is preferred.
  • Experience building evaluation platforms, simulation environments, benchmark suites, or agent test harnesses is preferred.
  • Experience with Kubernetes, Docker, distributed systems, workflow orchestration, or ML infrastructure is preferred.
  • Familiarity with defense, robotics, command-and-control systems, autonomy, or operational planning domains is preferred.

Benefits

  • US salary range of $220,000 to $292,000.
  • Highly competitive equity grants included in the majority of full-time offers.
  • Top-tier benefits for full-time employees.
  • Comprehensive, competitive benefits package available at little to no cost to employees.
  • Support for health, recovery, and future needs.
  • Compensation may vary based on work experience, education, training, critical skills, and business considerations.

Interested in this position?

Apply directly on the company website

Apply Now

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