Machine LearningPythonSparkAirflowLLMsGenerative AI
What you'll do
Architect and build production Agentic AI systems for compliance automation, including LLM-powered agents, orchestration pipelines, and decision support workflows that replace manual compliance processes
Own the ML technical direction for compliance agents, driving model selection, prompt engineering, grounding strategies, and guardrail design that ensure agent outputs are accurate, auditable, and regulatorily defensible
Design and implement evaluation and measurement frameworks that quantify agent performance, detect hallucinations and drift, and provide the auditability compliance teams and regulators require
Mentor engineers on ML system design, LLM application patterns, and responsible AI practices, raising the team's technical bar for production AI systems
+ years in machine learning and software engineering, with demonstrated experience shipping LLM-based or Agentic AI applications to production
Deep expertise in LLM application development, including prompt engineering, retrieval-augmented generation (RAG), grounding techniques, hallucination reduction, and agent orchestration frameworks
