Our proprietary AI models generate system architectures and orchestrate fabs, human teams, and third-party tools to bring them to life. * Collaborate closely with various , such as AI Engineers, Product Managers, Chief Officers and Software Teams, to integrate AI features into user-facing products * Experience with data engineering for ML/AI production deployment/MLOps using cloud platforms (Azure, AWS and/or GCP) and designing architectures for data platforms and data processing pipelines, building batch and real-time streaming solutions leveraging e.g. PySpark or Kafka * Additional expertise with AI tools and LLM providers, implementing advanced RAG pipelines (e.g., GraphRAG), agents/MCP, multi-agent architectures, ML model training, LLM fine-tuning, RLHF, LLM-as-a-judge metrics, and working in a multidisciplinary environment on customer-facing products and research projects
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