🛠 Tech Stack

💼 About This Role

You'll build foundational data systems powering AI and ML applications, designing vector stores, feature stores, and graph data models for retrieval-augmented generation and intelligent products. Your impact ensures downstream AI systems are fueled by high-quality, reliable data. You'll conduct deep data discovery across lending datasets to uncover patterns and insights.

🎯 What You'll Do

• Design and maintain vector stores for RAG systems
• Develop feature store architectures for offline/online consistency
• Create graph data models for customer and product relationships
• Conduct exploratory analysis on lending and behavioral datasets

📋 Requirements

• 4–7 years of experience in data science or ML engineering
• Strong experience building vector stores for RAG or semantic search
• Experience designing or operating feature stores
• Hands-on experience with graph databases like Neo4j or TigerGraph

✨ Nice to Have

• Experience in FinTech or SaaS environments
• Familiarity with Databricks AI ecosystem

🎁 Benefits & Perks

• 💰 Competitive compensation with bonus and equity
• 🏥 Comprehensive health coverage including medical, dental, vision
• 🏠 Remote-first work environment
• 🌴 Paid time off and flexible scheduling
• 📚 Professional development support

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min
4. 4Offer· 15 min