> Markdown version of [/jobs/ext/131556-crowdstrike-genai-security-engineer](https://www.wearedevelopers.com/jobs/ext/131556-crowdstrike-genai-security-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # CrowdStrike GenAI Security Engineer - **Company:** OpenKyber LLC - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Programming, Data Cleansing, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Azure Machine Learning, Search Technologies, Systems Integration, Data Processing, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Deep Learning, Generative AI, Pandas, Kubernetes, HuggingFace, Machine Learning Operations, Restful APIs, GPT, Docker - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=fe6209149dbce5c5 ## About the Role Role Overview Candidates must have experience delivering enterprise AI solutions in production environments, NOT only POC or personal projects/Educational Projects . We are seeking a Senior AI / GenAI Engineer with strong experience in machine learning, generative AI, and enterprise-scale AI platform development. The ideal candidate should have hands-on experience building production-grade AI systems, including Retrieval-Augmented Generation (RAG) platforms, vector search pipelines, autonomous AI agents, and scalable ML model deployment. The role requires expertise in Python-based ML development, LLM frameworks, vector databases, and AI orchestration frameworks such as LangChain, LangGraph, and Hugging Face., * Mandatory In-person interview in GA or NY * Experience with enterprise level projects only - No college, Educational, POC Projects * Programming Strong Python development experience (7+ years) . * Generative AI Hands-on experience with RAG, Vector DB, Embeddings and document chunking, Semantic search pipelines * AI Frameworks Experience with LangChain, LangGraph, and Hugging Face . * Data Processing Experience with Pandas, NumPy , and data preprocessing pipelines. * Integration Experience deploying ML models as REST APIs and integrating AI with enterprise systems. Preferred Skills * Experience with Natural Language Processing (NLP) and Deep Learning . * Familiarity with Transformers and Large Language Models (LLMs) . * Experience with Cloud ML platforms such as Azure AI, AWS SageMaker etc Nice to Have * Experience building AI agents or autonomous systems . * Knowledge of vector databases (Pinecone, Weaviate, Milvus, FAISS) . * Experience with MLOps practices, Docker, and Kubernetes . * Exposure to multimodal AI systems . ## Related Videos - [Supercharge your cloud-native applications with Generative AI](https://www.wearedevelopers.com/videos/950-supercharge-your-cloud-native-applications-with-generative-ai) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [How to implement convenient Python bindings to C++](https://www.wearedevelopers.com/videos/618-how-to-implement-convenient-python-bindings-to-c) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)