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Sandbox Agentic Engineer
CrowdStrike. Own the full lifecycle: from prototype to production deployment .
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Own the full lifecycle: from prototype to production deployment
- Lead development of AI agents using modern frameworks (vLLM, SGLang)
- Optimize agent performance through prompt engineering and fine-tuning
- Design scalable solutions that balance cost, performance, and security
- Collaborate with teams to transform enterprise workflows
Requirements
What you’ll need- Experience building and deploying LLM-based agents
- Understanding of prompt engineering fundamentals
- Exposure to fine-tuning techniques (LoRA, QLoRA)
- Strong Python chops
- Familiarity with deployment frameworks (vLLM, SGLang, FastAPI)
- Experience with modern LLM platforms (OpenAI, Anthropic, etc.)
Benefits
Comp & perks- 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
- Great Place to Work Certified™ across the globe
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI agentsprompt engineeringfine-tuningPythonLoRAQLoRAvLLMSGLangFastAPILLM-based agents
Soft Skills
leadershipcollaboration