Player-coach role leading a small AI engineering team building natural language analytics and reporting features. Hands-on coding plus management responsibilities for agents, evals, and data systems.
Drata is seeking a Senior AI Product Engineer to lead full-stack development of customer-facing AI features. This role involves translating LLM capabilities into intuitive product experiences, partnering with AI Engineers, Product, and Design teams, and advocating for user experience in technical decisions.
Senior engineer building and operating AI/ML production infrastructure including MCP servers, agent orchestration, LLM workflows, and RAG systems. Requires 7+ years experience with 2+ years in AI/ML infrastructure.
Senior Applied Research Engineer driving AI system quality through experimentation and evaluation of RAG, retrieval, and reasoning systems. Requires 5+ years applied ML/NLP experience with strong Python and evaluation methodology skills.
Drive the quality of Drata's AI systems through experimentation and applied research on RAG, agents, and information retrieval. Own evaluation frameworks and translate validated approaches into production with AI and Software Engineers.
Drata is seeking a Senior AI Product Engineer to lead full-stack development of customer-facing AI features. This role involves translating LLM capabilities into intuitive product experiences, partnering with AI Engineers, and advocating for user experience in technical decisions.
Drive quality of Drata's AI compliance systems through applied research, focusing on RAG optimization, evaluation frameworks, retrieval strategies, and experiment-driven improvements to document-heavy GenAI workflows.
Staff AI Engineer designs and owns end-to-end production AI systems including LLM pipelines, RAG, and agentic workflows for compliance platforms. Requires 10+ years software engineering with 3+ years in ML/AI, strong Python, and production AI experience.
Designs, builds, and scales agentic AI systems using LLMs for compliance automation, including multi-step reasoning, RAG, and production deployment. Requires 7+ years software engineering with 2+ years ML/AI, Python proficiency, and cross-functional collaboration.
Player-coach role leading a small AI engineering team building natural language analytics and reporting features. Hands-on coding plus management responsibilities for agents, evals, and data systems.
Drata is seeking a Senior AI Product Engineer to lead full-stack development of customer-facing AI features. This role involves translating LLM capabilities into intuitive product experiences, partnering with AI Engineers, Product, and Design teams, and advocating for user experience in technical decisions.
Senior engineer building and operating AI/ML production infrastructure including MCP servers, agent orchestration, LLM workflows, and RAG systems. Requires 7+ years experience with 2+ years in AI/ML infrastructure.
Senior Applied Research Engineer driving AI system quality through experimentation and evaluation of RAG, retrieval, and reasoning systems. Requires 5+ years applied ML/NLP experience with strong Python and evaluation methodology skills.
Drive the quality of Drata's AI systems through experimentation and applied research on RAG, agents, and information retrieval. Own evaluation frameworks and translate validated approaches into production with AI and Software Engineers.
Drata is seeking a Senior AI Product Engineer to lead full-stack development of customer-facing AI features. This role involves translating LLM capabilities into intuitive product experiences, partnering with AI Engineers, and advocating for user experience in technical decisions.
Drive quality of Drata's AI compliance systems through applied research, focusing on RAG optimization, evaluation frameworks, retrieval strategies, and experiment-driven improvements to document-heavy GenAI workflows.
Staff AI Engineer designs and owns end-to-end production AI systems including LLM pipelines, RAG, and agentic workflows for compliance platforms. Requires 10+ years software engineering with 3+ years in ML/AI, strong Python, and production AI experience.
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Designs, builds, and scales agentic AI systems using LLMs for compliance automation, including multi-step reasoning, RAG, and production deployment. Requires 7+ years software engineering with 2+ years ML/AI, Python proficiency, and cross-functional collaboration.