CrowdStrike GenAI Security Engineer
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Requirements
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 .
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