Sr. Software Engineer - Applied AI (Remote)

CrowdStrike, Inc.; Sunnyvale (CA); Remote; USD 150,000 - 200,000; Full time

Job summary

A leading cybersecurity firm in Sunnyvale, CA seeks a Senior Applied AI Engineer to build LLM-powered systems that optimize decision-making and operational efficiency. Candidates should have strong expertise in AI engineering, programming skills in Python and Go, and experience in deploying LLMs into production. The role offers an opportunity to innovate and collaborate within a dynamic team environment.

Qualifications

• Proven experience shipping LLM-based systems into production with measurable impact.
• Expertise in evaluation and testing of LLMs.
• Strong programming skills in Python and Go.
• Hands-on experience with LLM orchestration frameworks.

Responsibilities

• Build and ship LLM-powered systems that reduce toil and improve decision-making.
• Design and maintain evaluation frameworks for safe rollout.
• Develop retrieval-augmented pipelines and data strategies.
• Engineer AI copilots for operational data interactions.

Skills

LLM-based systems shipping

Evaluation and testing of LLMs

Python programming

Go programming

LLM orchestration frameworks

RAG pipelines

Adaptive AI techniques

Tools

Python

Go

JavaScript

React

Job description

CrowdStrike, Inc. 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.

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, retrieval pipelines, and evaluation harnesses to build copilots, automated decision engines, and large-scale migration frameworks.

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 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, SRE/Infra/Data Service/DC, and Security 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 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.
• Strong programming skills in Python and Go.
• Hands-on experience with LLM orchestration frameworks.
• Deep understanding of RAG pipelines.
• Ability to translate ambiguous operational problems into AI-first solutions with clear KPIs.

Bonus Points:

• Experience with fine-tuning/adapters and safety tuning.
• Exposure to inference optimization and serving.
• Experience building AI copilots/assistants for engineers.
• Frontend development in JavaScript/React.
• Knowledge of reinforcement learning, adaptive systems, or optimization methods.

CrowdStrike is proud to be an equal opportunity employer, committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed.