Machine Learning and AI Engineer

Responsibilities

• Design, fine-tune, and deploy ML and LLM-driven systems used in production by professional investors
• Build and maintain inference pipelines that are fast, observable, and reliable
• Integrate OpenAI, Gemini, and Anthropic models into reasoning and knowledge systems
• Work closely with backend engineers to productionize models in Golang-based services
• Improve signal quality, not just model accuracy
• Review code and designs with a bias toward long-term maintainability

Requirements

• 5 plus years building ML or applied AI systems in production
• Startup experience working on a core product
• Strong Python skills and experience integrating with backend systems
• Hands-on experience with AI-assisted coding tools like Cursor or Claude Code
• Fintech experience or strong personal investment background
• Comfortable owning outcomes, not just tasks

Preferred Qualifications

• Experience with LLM reasoning systems or knowledge graphs
• Exposure to Golang-based ML integrations
• Prior experience supporting investor-facing products

About the Company

Reflexivity builds AI systems that power investment insights, working at the intersection of reasoning engines, proprietary data, and real market impact to help professional investors understand earnings, risk, and market catalysts.