About the role
Sigma360 is an MIT-incubated, Series B compliance data and analytics company helping financial institutions and governments manage entity risk. As an Applied AI Engineer, you'll turn hard compliance problems into working AI systems — building agents, fine-tuning models, engineering prompts, and validating outputs against real-world, adversarial data. This is a notebooks-first, research-oriented role upstream of production engineering. You'll work on name matching across languages, adverse media classifiers, and agentic workflows that compress hours of analyst work into minutes.
What we're looking for
2+ years of experience; strong Python fluency (pandas, PySpark); solid ML fundamentals including evaluation design and precision/recall tradeoffs; hands-on experience building with LLMs — agents, RAG pipelines, or fine-tuned classifiers; systematic prompt engineering approach; ability to work autonomously through ambiguous problems; Bachelor's degree in CS, ML, Data Science, or equivalent practical experience.
AIMachine LearningPythonLLMNLPPrompt EngineeringRAGAgentsDatabricksPyTorchHuggingFaceFinTechCompliance