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CrowdStrike GenAI Security Engineer

OpenKyber LLC
United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
indeed.com

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Continuous Integration Graph Database Python (Programming Language) Software Engineering Google Cloud Large Language Models Generative AI Backend
+4 more
Scikit Learn Machine Learning Operations Front End Software Development Restful APIs

Job description

Job Summary: We are seeking a skilled AI Engineer with strong Python expertise and hands-on experience in LLMs, GraphRAG, and agentic frameworks. This role focuses on building scalable, production-ready AI applications using modern GenAI technologies., * Build AI applications using LLMs and advanced techniques like GraphRAG

  • Develop autonomous agents using modern frameworks
  • Design and implement REST APIs and full-stack solutions
  • Deploy AI workloads on cloud platforms (AWS, Azure, or Google Cloud Platform)
  • Apply LLMOps/MLOps best practices (CI/CD, monitoring, scaling)
  • Work with embeddings, knowledge graphs, and ontology-based systems
  • Collaborate across teams and contribute to technical innovation

Requirements

  • 5+ years of AI/ML-focused software engineering experience
  • Strong Python skills and experience with AI/ML libraries
  • Hands-on experience with LLMs and GenAI applications
  • Experience with GraphRAG, embeddings, and knowledge graphs
  • Full-stack development experience (backend + frontend basics)
  • Cloud experience (AWS, Azure, or Google Cloud Platform)
  • Strong problem-solving and communication skills

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

6:10 min

Unlocking free learning credits via Google Cloud Innovators

Asrar Asrar · WWC 2024

1:42 min

Choosing specialized libraries beyond scikit-learn

Adrian Schmitt · LIVE

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

1:12 min

Choosing TypeScript for complex backend applications

Maximilian Otto Maximilian Otto · WWC 2024

52 sec

Transitioning from software consulting to AI building

Malte Lensch Malte Lensch · WWC Europe 2026

Videos

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Supercharge your cloud-native applications with Generative AI thumbnail
32:13
WWC 2024 • almost 2 years ago

Supercharge your cloud-native applications with Generative AI

Cedric Clyburn

Overview of Machine Learning in Python thumbnail
57:46
LIVE • over 2 years ago

Overview of Machine Learning in Python

Adrian Schmitt

The Cloud is Calling: Answer with In-Demand Skills thumbnail
21:23
WWC 2024 • almost 2 years ago

The Cloud is Calling: Answer with In-Demand Skills

Asrar

Developing the Backend with Stefan Lingler, CTO at Shpock thumbnail
24:02
Coffee With Developers • about 8 years ago

Developing the Backend with Stefan Lingler, CTO at Shpock

Stefan Lingler, Thomas Pamminger

Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow thumbnail
21:22
WWC 2025 • 12 months ago

Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow

Kapil Gupta

Getting Started with Machine Learning thumbnail
44:11
LIVE • almost 5 years ago

Getting Started with Machine Learning

Alexandra Waldherr

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