FutureFit AI

AI Engineer

• Design, build, and ship LLM-based product experiences end to end
• Develop conversational coaching and agentic workflows that complete multi-step tasks
• Build tool-use and orchestration layers
• Create coaching and career-pathway products grounded in observed career transitions and causal evidence about wages and lifetime earnings
• Establish what labor-market and intervention data can and cannot support
• Build evaluation harnesses, offline and online quality measurement, regression tracking, and human-in-the-loop review
• Develop predictive, classification, and ranking models when appropriate
• Prepare, label, govern, and maintain AI data pipelines and knowledge sources
• Connect AI systems safely to internal tools, databases, SaaS products, case management systems, and enterprise workflows
• Implement authentication, guardrails, and failure handling
• Partner with Engineering, Product, and the VP of Data & AI
• Help shape AI prompting, evaluation, agent permissions, and technical patterns
• Provide technical leadership while building new products

Explore Senior AI Engineer at FutureFit AI. Review requirements and application details.