Engineer III, AI SDLC Engineer (Remote)

Location: USA - Remote

Base salary: $120,000–$180,000 per year, with eligibility for bonuses, equity grants, health insurance, 401(k), and paid time off.

Company

CrowdStrike is a cybersecurity company that provides an AI-native platform for protecting organizations and processing large-scale security event data.

What you will do

• Design and build agentic workflows for code generation, review, testing, and release.
• Improve context-grounding systems so AI agents retrieve accurate information with fewer search iterations.
• Develop model-routing capabilities that balance task suitability, quality, latency, and compute or model spend.
• Build observability and quality tooling, including dashboards, usage insights, and benchmark suites.
• Define and run internal benchmarks for bug detection, review quality, latency, and other real-world engineering tasks.
• Partner with engineering teams to identify workflow friction and implement responsible, agent-driven automation.

Requirements

• 5+ years of backend or platform engineering experience, ideally with production Kubernetes systems.
• Hands-on experience building or operating LLM-agent infrastructure, including harnesses, tool-integration protocols, or subagent orchestration.
• Strong understanding of context windows, prompt design, caching, and reasoning or latency trade-offs in LLM applications.
• Experience using AI technologies to improve decision-making, workflows, efficiency, and business outcomes.
• Proficiency in Go and/or Python, plus experience with internal developer platforms, observability tooling, or cost and governance dashboards.
• Comfort working with ambiguous and evolving specifications.

Nice to have

• Experience with modern AI coding agent frameworks or SDKs.
• Familiarity with graph-based context systems, knowledge graphs, or entity resolution for LLM applications.
• Experience instrumenting or optimizing large-scale event pipelines.
• Experience running benchmark-driven optimization programs, including A/B testing or Pareto-frontier tracking.

Culture & Benefits

• Flexible work environment with autonomy and a focus on responsible AI adoption, experimentation, and innovation.
• Comprehensive physical and mental wellness programs.
• Competitive vacation, holidays, and paid parental and adoption leave.
• Professional development opportunities for employees at all levels.
• Employee networks, neighborhood groups, volunteer opportunities, and office amenities.