Anduril Industries
AI Solutions Engineer, Talent Acquisition
About this role
Anduril Industries seeks an AI Solutions Engineer to build and own AI agents and automation systems across their talent acquisition function. You'll develop LLM-powered tools that solve recruiting problems—from sourcing to scheduling—while managing the strategic roadmap, conducting build-vs-buy assessments, and ensuring compliance in a regulated defense environment.
What you'll do
- Build and ship AI agents and automations for recruiting workflows (sourcing, screening, outreach, scheduling, reporting) with measurable ROI
- Own the TA AI and automation roadmap end-to-end, including prioritization, sequencing, and leadership communication
- Conduct rigorous build-vs-buy evaluations of vendors and custom solutions against scalability, cost, safety, and compliance criteria
- Partner with Corporate Technology to align solutions with company AI infrastructure, models, and security posture
- Define success metrics and instrument monitoring for deployed systems; retire underperforming initiatives
- Drive AI literacy across the recruiting organization through training, documentation, and best practice guidance
What they're looking for
- Applied AI/LLM engineering (agents, tool use, RAG, evaluations)
- Python and software engineering fundamentals (APIs, version control, testing, deployment)
- Production software development (4+ years)
- Recruiting and talent acquisition domain knowledge
- Safety, compliance, and governance (PII, ITAR/CUI, audit trails)
- Build-vs-buy assessment and vendor evaluation
- Pragmatic problem-solving and cross-functional collaboration
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Anduril Industries
Anduril Industries builds autonomous defense systems including underwater vehicles, unmanned aircraft, and electronic warfare platforms for the Department of Defense. The company is hiring across mechanical engineering, mission operations, software development, technical leadership, and advanced manufacturing roles to support the design, deployment, and production of these mission-critical systems.
- Website
- anduril.com
Likely interview questions
- Walk us through a production AI/LLM system you've built end-to-end. What was the recruiting or business problem, what did you ship, and how did you measure success?
- Describe a time you had to choose between building something custom versus buying/integrating an existing solution. What tradeoffs did you consider, and how did you make the decision?