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
7 years minimum
Working hours
Regular working hours
Job source

Tech stack

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
+14 more
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

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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