AI Cybersecurity Company · 9 hours ago
AI Scientist / GenAI Engineer
San Jose, CA
Full-time
Onsite
Mid, Senior Level
4+ years expAI Cybersecurity Company is a cutting-edge startup focused on developing AI systems for cybersecurity. The Applied AI Scientist will bridge AI research and real-world applications by designing, implementing, and optimizing models to enhance security measures.
Computer Software
Responsibilities
Collaborate with cybersecurity researchers and stakeholders to scope AI-driven solutions to security problems (e.g., vulnerability management, code analysis, threat detection)
Conduct applied research using the latest LLMs and embedding models (Claude, Google GenAI, Unsloth, vLLM)
Prototype, fine-tune, and evaluate GenAI and RAG/CAG architectures for classification, summarization, reasoning, and context synthesis
Perform embedding-level optimization for text, code, and image data using Unsloth, Hugging Face, Voyage, or similar frameworks
Develop and test end-to-end AI pipelines integrating Milvus or Pinecone for semantic retrieval
Build agentic AI systems using LangGraph or similar frameworks to enable autonomous reasoning and task chaining
Collaborate with MLOps engineers to deploy and monitor AI models in production securely and efficiently
Contribute to synthetic data generation pipelines for fine-tuning and evaluation
Implement evaluation frameworks using DeepEval and GenAI tools (Claude / Google GenAI) for factuality, reliability, and robustness
Optimize model performance across latency, accuracy, and cost using vLLM, quantization, or caching strategies
Maintain reproducible experiment tracking with MLflow, Weights & Biases, or internal tools
Stay ahead of GenAI trends — multi-modal reasoning, agentic orchestration, embedding adaptation
Explore hybrid LLM deployment strategies (local Unsloth/vLLM + cloud APIs like Claude, Google GenAI)
Document best practices, share learnings, and mentor junior scientists on applied GenAI workflows
Qualification
Required
4+ years in Applied AI / Machine Learning Research / Data Science
Strong understanding of LLMs, embeddings, RAG systems, and multimodal learning
Proficiency in Python and frameworks like PyTorch, Transformers, Hugging Face, or LangChain
Experience in prompt engineering, model evaluation, and retrieval-based reasoning
Hands-on experience with vector databases (Milvus / Pinecone) and orchestration frameworks (LangGraph / LangChain)
Strong communication skills and ability to collaborate across research and engineering functions
Preferred
Experience with fine-tuning LLMs or embeddings using Unsloth or similar frameworks
Familiarity with Claude / Google GenAI APIs for cloud-based inference and evaluation
Exposure to cybersecurity or enterprise data (CVEs, pluginText, network or asset logs)
Prior work on synthetic data generation and evaluation frameworks (DeepEval)
Experience in a fast-paced startup or applied research environment
Benefits
Comprehensive medical, dental, and vision coverage.
Wellness and professional development stipends.
Equity options — your impact equals ownership.
Access to state-of-the-art GPUs, APIs, and GenAI frameworks.
Company
AI Cybersecurity Company
11-50 employeesFunding
Current Stage
Early StageCompany data provided by crunchbase