Immediate Start: Sr. Applied Ai Engineer

As a global leader in cybersecurity CrowdStrike protects the people processes and technologies that drive modern organizations Since 2011 our mission hasn t changed we re here to stop breaches and we ve redefined modern security with the world s most advanced AI-native platform We work on large scale distributed systems processing almost 3 trillion events per day and this traffic is growing daily Our customers span all industries and they count on CrowdStrike to keep their businesses running their communities safe and their lives moving forward We re also a mission-driven company We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers We re always looking to add talented CrowdStrikers to the team who have limitless passion a relentless focus on innovation and a fanatical commitment to our customers our community and each other Ready to join a mission that matters The future of cybersecurity starts with you About the Role 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 This role requires a blend of deep AI engineering expertise and strong software engineering discipline You will work with LLMs orchestration frameworks LangChain LangGraph MCP retrieval pipelines and evaluation harnesses to build copilots automated decision engines and large-scale migration frameworks You ll be responsible for ensuring these systems are trustworthy measurable and safe with clear evaluation gates grounding and hallucination detection before rollout Success in this role means moving beyond prototypes and delivering AI applications that engineers rely on daily copilots that triage incidents systems that recommend adaptive configurations services that automate multi-repo code migrations and evaluators that keep models accountable You will collaborate closely with SRE Security and various Infrastructure Foundations teams What You ll Do 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 10 years of total experience in development with strong programming skills in JS Python or Go Proven experience shipping LLM-based systems into production with measurable impact Expertise in evaluation and testing of LLMs benchmarks hallucination regression tests grounding metrics 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 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 LI-SM2 Benefits of Working at CrowdStrike 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 Employee Networks geographic neighborhood groups and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified TM across the globe CrowdStrike is proud to be an equal opportunity employer We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed We support veterans and individuals with disabilities through our affirmative action program CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment The Company does not discriminate in employment opportunities or practices on the basis of race color creed ethnicity religion sex including pregnancy or pregnancy-related medical conditions sexual orientation gender identity marital or family status veteran status age national origin ancestry physical disability including HIV and AIDS mental disability medical condition genetic information membership or activity in a local human rights commission status with regard to public assistance or any other characteristic protected by law We base all 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