Senior Applied AI Engineer 2

📋 Description

• Design and evaluate information access + reasoning strategies across RAG, agents, and classic ML
• Prototype GenAI workflows (including agentic systems) that map and reason over compliance objects
• Explore ML + probabilistic approaches where GenAI is not the best fit: classifiers, ranking models
• Build and maintain evaluation frameworks: golden datasets, automated quality metrics, regression
• Implement and tune ranking/reranking systems: cross-encoders, LLM-based rerankers
• Run experiments to validate hypotheses and quantify improvements before production rollout

🎯 Requirements

• 6+ years of experience in applied research, data science, or ML with a focus on NLP, information
• 2+ years of hands-on experience building or contributing to production AI/ML systems
• Strong foundation in information retrieval: dense and sparse retrieval, embedding models, search
• Experience with RAG systems: chunking strategies, vector databases, retrieval optimization
• Proficiency in evaluation methodology: metrics design, golden dataset creation, A/B testing
• Strong Python skills and comfort with notebook-driven research workflows

🎁 Benefits

• Shared Success: stock equity to share in company growth
• Health & Wellness: Up to 100% employer-paid premiums for medical, dental, and vision coverage
• Financial Well-being: 401(k) plan, company-paid life and disability insurance, tax-advantaged
• Family Support: paid Parental Leave after six months, Kindbody fertility and family-building
• Growth & Development: annual stipends for professional and personal development, internal
• Time Off & Flexibility: flexible vacation policy, paid holidays, other perks