🛠 Tech Stack

💼 About This Role

You'll act as a super-IC managing a fleet of AI agents to transform 100,000+ unstructured financial PDFs into clean, queryable data for institutional buyers. You'll design agentic workflows and validation logic to ensure professional-grade accuracy at scale. This role sits at the intersection of data science and engineering, offering exposure to institutional customers and meaningful equity.

🎯 What You'll Do

• Design and maintain agent-led data pipelines with prompt chains
• Build validation logic in Python and SQL to catch edge cases
• Debug and optimize complex data ingestion and transformation systems
• Act as final quality checkpoint before data reaches financial clients

📋 Requirements

• 1–5 years of experience in data science or analytics engineering
• Experience building production-grade data pipelines
• Proficiency in Python and SQL
• Familiarity with agentic coding tools like Cursor or Claude Code

✨ Nice to Have

• Experience with financial data or unstructured PDFs
• Background in machine learning or NLP

🎁 Benefits & Perks

• 🏖️ Flexible remote work
• 📈 Meaningful equity in a fast-shipping startup
• 🏢 London office with hybrid options

📨 Hiring Process

Visit website, talk to Jack AI, then Jill AI considers you for the role; if fit, introduction is made.

🚩 Heads Up

• Company name and details anonymized, could be suspect
• Role title and description don't clearly match experience level (1-5 years but senior-like responsibilities)