Engineer III, AI SDLC Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $120k - $180k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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CrowdStrike

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2011

🔒 Cybersecurity

☁️ SaaS

🤖 Artificial Intelligence

Cybersecurity • SaaS • Artificial Intelligence

CrowdStrike is a cybersecurity company that provides cloud-based security services to stop breaches. It is recognized as a leader in endpoint protection, identity and cloud security, and managed detection and response. CrowdStrike's platform, Falcon, integrates artificial intelligence to offer real-time visibility, detection, and protection against sophisticated cyber threats. The company is lauded for its effectiveness in securing networks and data, making it a trusted partner for businesses worldwide.

📋 Description

• Design and build agentic workflows that automate software development lifecycle activities, including code generation, review, testing, and release • Improve context-grounding systems so agents resolve the right information on the first try • Tune model routing to match tasks with suitable models while considering cost efficiency • Build observability and quality tooling, including dashboards, usage insights, and benchmark suites • Establish internal benchmarks for bug detection, review quality, and latency • Partner with engineering teams to identify workflow friction and create automated, agent-driven capabilities • Contribute to responsible and effective AI adoption across the engineering organization

🎯 Requirements

• 5+ years of backend/platform engineering experience, ideally with production Kubernetes systems • Hands-on experience building or operating LLM-agent infrastructure — harnesses, tool-integration protocols, subagent orchestration, or similar • Strong understanding of LLM application mechanics: context windows, prompt design, caching, and reasoning/latency tradeoffs • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes • Comfort working from ambiguous, evolving specs • Go and/or Python proficiency • Experience building internal developer platforms, observability tooling, or cost/governance dashboards • Experience with modern AI coding agent frameworks or SDKs • Familiarity with graph-based context systems (knowledge graphs, entity resolution) feeding LLM applications • Background instrumenting or optimizing large-scale event pipelines • Prior experience running a benchmark-driven optimization program (A/B testing, Pareto-frontier tracking) for a production system

🏖️ Benefits

• Market leader in compensation and equity awards • Comprehensive physical and mental wellness programs • Competitive vacation and holidays for recharge • Paid parental and adoption leaves • Professional development opportunities for all employees regardless of level or role • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections • Vibrant office culture with world class amenities • Bonuses • Equity grants • Health insurance • 401k • Paid time off