Applied AI Engineer

Overview As Forward Deployment AI Engineer at Millennium, you will deliver end-to-end AI-driven automation and decision-support across the firm. You’ll own conversations through deployment, turning prototypes into reusable capabilities for multiple teams. You’ll work with cross-functional partners to scope problems, build robust agent-based solutions, and continuously improve systems with evaluation and feedback. This role combines hands-on coding, ML modeling, and practical business impact in a fast-moving, collaborative environment. Compensation / Benefitsbase salarydiscretionary performance bonuscomprehensive benefits ResponsibilitiesOwn agentic process automation: design and implement agents that automate undocumented workflows with tool integrations, orchestration, and auditabilityBuild prediction and decision-support models: forecast, detect anomalies, rank, match, and classify using firm data with proper validationDevelop document intelligence pipelines for extraction, classification, and review across contracts, filings, emails, transcriptsBuild entity intelligence and self-improving systems: knowledge graphs, entity resolution, enrichment, and evaluation/feedback loopsEmbed with business teams to scope problems end-to-end, from initial conversation to deployment and iterationTurn proven solutions into reusable capabilities for the broader firm Key requirements3+ years shipping production software, ML, or AI systemsBachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or related quantitative disciplineStrong Python and engineering fundamentalsSubstantial hands-on LLM and agentic experience: tool use, orchestration, structured outputs, retrieval, evaluations, calibrated judgmentSupervised ML depth: training, validation, feature engineering, leakage/overfitting/drift awarenessComfort with messy, heterogeneous data and unfamiliar domains, ability to quickly attain functional fluency with subject-matter expertsAutonomy to embed with traders or CFOs and build without waiting for a specability to collaborate with cross-functional teamscredibility with subject-matter expertshigh autonomy and initiativePythonLLM and agentic toolingtool orchestration and integration