CrowdStrike

Senior Software Engineer – Applied AI

CrowdStrike

full-time

Posted on:

Location Type: Remote

Location: Remote • Washington • 🇺🇸 United States

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Salary

💰 $140,000 - $215,000 per year

Job Level

Senior

Tech Stack

GoJavaScriptPythonReact

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.

Requirements

  • 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.
Benefits
  • 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™ across the globe

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
LLM-based systemsevaluation frameworksretrieval-augmented pipelinesadaptive AI techniquesPythonGoJavaScriptReactfine-tuningreinforcement learning
Soft skills
collaborationproblem-solvingcommunicationtranslating ambiguous problemsoptimizing configurations