CrowdStrike
Sr. Software Engineer - Applied AI (Remote)
CrowdStrike, Oklahoma City, Oklahoma, United States
Sr. Software Engineer - Applied AI (Remote)
Join CrowdStrike as a Sr. Software Engineer - Applied AI (Remote) to apply your skills in building AI-first applied engineering systems. CrowdStrike is a global leader in cybersecurity, protecting people, processes, and technologies that drive modern organizations. We work on large-scale distributed systems, processing almost 3 trillion events per day, and our customers span all industries. We are building an AI-first applied engineering team focused on transforming how operations and infrastructure teams work at scale. As a Senior Applied AI Engineer, you will take cutting-edge AI methods and turn them into production systems that directly improve reliability, velocity, and efficiency for engineering organizations. About The Role: Build and ship LLM-powered systems that reduce toil, accelerate remediation, and improve decision-making in operations contexts. Design and maintain evaluation frameworks: hallucination tests, regression harnesses, benchmarks, and quality gates for safe rollout. Develop retrieval-augmented pipelines (RAG) and data strategies for grounding on logs, telemetry, runbooks, and system metadata. Engineer AI copilots and natural-language interfaces to interact with operational data and workflows. Create frameworks for large-scale automation such as safe code migration and transformation pipelines. Apply adaptive AI techniques to optimize system configurations, predict anomalies, and recommend preventive actions. Partner across teams — collaborate with AI Platform (inference/serving), SRE/Infra/Data Service/DC (operational context), and Security (safe usage) while focusing your work on application logic, correctness, evaluation, and safety. Implement guardrails and safety systems: prompt injection defenses, PII filtering, constrained decoding, and model observability. Build developer-facing SDKs and APIs in Python/Go; intuitive UIs in JavaScript/React for human-in-the-loop workflows. Leverage modern orchestration frameworks (LangChain, LangGraph, MCP, semantic routers) to coordinate multi-step, tool-augmented workflows. What You'll Need: Proven experience shipping LLM-based systems into production with measurable impact. Expertise in evaluation and testing of LLMs (benchmarks, hallucination/regression tests, grounding metrics). Strong programming skills in Python and Go. Hands-on experience with LLM orchestration frameworks: LangChain, LangGraph, MCP, agent frameworks, or equivalent. Deep understanding of RAG pipelines: embeddings, retrieval quality metrics, re-ranking, and grounding precision/recall. Ability to translate ambiguous operational problems into AI-first solutions with clear KPIs. Bonus Points: Experience with fine-tuning/adapters (LoRA, QLoRA, continual learning) and safety tuning. Exposure to inference optimization and serving, partnering with platform teams on latency, scaling, and resilience. Experience building AI copilots/assistants for engineers. Frontend development in JavaScript/React for lightweight human-in-the-loop tooling. Knowledge of reinforcement learning, adaptive systems, or optimization methods. CrowdStrike offers a remote-friendly and flexible work culture, 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, and a vibrant office culture with world-class amenities. CrowdStrike is an equal opportunity employer and is committed to providing equal employment opportunity for all employees and applicants for employment.
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Join CrowdStrike as a Sr. Software Engineer - Applied AI (Remote) to apply your skills in building AI-first applied engineering systems. CrowdStrike is a global leader in cybersecurity, protecting people, processes, and technologies that drive modern organizations. We work on large-scale distributed systems, processing almost 3 trillion events per day, and our customers span all industries. We are building an AI-first applied engineering team focused on transforming how operations and infrastructure teams work at scale. As a Senior Applied AI Engineer, you will take cutting-edge AI methods and turn them into production systems that directly improve reliability, velocity, and efficiency for engineering organizations. About The Role: Build and ship LLM-powered systems that reduce toil, accelerate remediation, and improve decision-making in operations contexts. Design and maintain evaluation frameworks: hallucination tests, regression harnesses, benchmarks, and quality gates for safe rollout. Develop retrieval-augmented pipelines (RAG) and data strategies for grounding on logs, telemetry, runbooks, and system metadata. Engineer AI copilots and natural-language interfaces to interact with operational data and workflows. Create frameworks for large-scale automation such as safe code migration and transformation pipelines. Apply adaptive AI techniques to optimize system configurations, predict anomalies, and recommend preventive actions. Partner across teams — collaborate with AI Platform (inference/serving), SRE/Infra/Data Service/DC (operational context), and Security (safe usage) while focusing your work on application logic, correctness, evaluation, and safety. Implement guardrails and safety systems: prompt injection defenses, PII filtering, constrained decoding, and model observability. Build developer-facing SDKs and APIs in Python/Go; intuitive UIs in JavaScript/React for human-in-the-loop workflows. Leverage modern orchestration frameworks (LangChain, LangGraph, MCP, semantic routers) to coordinate multi-step, tool-augmented workflows. What You'll Need: Proven experience shipping LLM-based systems into production with measurable impact. Expertise in evaluation and testing of LLMs (benchmarks, hallucination/regression tests, grounding metrics). Strong programming skills in Python and Go. Hands-on experience with LLM orchestration frameworks: LangChain, LangGraph, MCP, agent frameworks, or equivalent. Deep understanding of RAG pipelines: embeddings, retrieval quality metrics, re-ranking, and grounding precision/recall. Ability to translate ambiguous operational problems into AI-first solutions with clear KPIs. Bonus Points: Experience with fine-tuning/adapters (LoRA, QLoRA, continual learning) and safety tuning. Exposure to inference optimization and serving, partnering with platform teams on latency, scaling, and resilience. Experience building AI copilots/assistants for engineers. Frontend development in JavaScript/React for lightweight human-in-the-loop tooling. Knowledge of reinforcement learning, adaptive systems, or optimization methods. CrowdStrike offers a remote-friendly and flexible work culture, 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, and a vibrant office culture with world-class amenities. CrowdStrike is an equal opportunity employer and is committed to providing equal employment opportunity for all employees and applicants for employment.
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