Senior Ai/data Engineer

Description:

We’re building a next-generation enterprise platform for a regulated industry. A critical part of making the system usable is turning messy, real-world customer data, PDFs, Excel files, scanned forms, into clean, structured, validated records.

You’ll design and own the AI/ML systems that make that possible.

This is foundational work. It’s not an AI prototype, it’s the core engine powering a production system used daily in high-integrity operational environments.

What You’ll Work On
 

• Build document ingestion pipelines (PDF, Excel, scanned forms → structured JSON)
• Design and implement validation logic (rules + heuristics to catch bad data)
• Develop step-based workflows (flag → route → correct → approve)
• Enable human-in-the-loop feedback (logging, traceability, correction UIs)
   

Your work will directly affect how airlines, engineers, and regulators interact with critical operational data.

Must-Have Experience
 

• Python (you write clean, testable code, not just notebooks)
• OCR & document parsing (e.g., pdfplumber, Tesseract, PaddleOCR)
• Data structuring & transformation (semi-structured ETL pipelines)
• Schema-based validation (e.g., Pydantic, Cerberus, or custom logic)
   

Nice to Have
 

• Workflow orchestration tools (e.g., Prefect, Airflow, LangGraph)
• Human-in-the-loop systems
• API/CLI development experience
• Experience in high-integrity or regulated domains (aviation, healthcare, finance)
• Vector databases, fuzzy matching, or enrichment logic
• Lightweight ML models (e.g., classification, anomaly detection)