CrowdStrike · 16 hours ago
Sr. Software Engineer - Applied AI (Hybrid)
Austin, TX
Full-time
Hybrid
Senior Level
$140K/yr - $215K/yrCrowdStrike is a global leader in cybersecurity, dedicated to stopping breaches with their advanced AI-native platform. The Senior Applied AI Engineer will leverage cutting-edge AI methods to enhance operational efficiency and reliability, collaborating closely with various teams to deliver trustworthy AI applications.
Artificial Intelligence (AI)Cloud Data ServicesCloud SecurityCyber SecurityNetwork Security
No H1B
U.S. Citizen Only
Responsibilities
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
Qualification
Required
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
Preferred
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
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
Great Place to Work Certified™ across the globe
Health insurance
401k
Paid time off
Company
CrowdStrike
CrowdStrike is a cybersecurity technology firm that provides cloud-delivered protection for cloud workloads, identity, and data.
Founded in 2011
5001-10000 employees
Funding
Current Stage
Public CompanyTotal Funding
$1.24BKey Investors
ARK Investment ManagementAccelCapitalG
2022-12-01Post Ipo Equity· $4.6M
2021-01-12Post Ipo Debt· $750M
2019-06-12IPO
Leadership Team
George Kurtz
President / CEO & Founder
Zeki Turedi
Field CTO Europe
Recent News
The Motley Fool
2026-01-22
2026-01-21
2026-01-19
Company data provided by crunchbase