Senior ML Engineer - Document Intelligence, OCR & LLMs

🚀 We’re Hiring: Senior ML Engineer (Document Intelligence, OCR & LLMs) (Remote | Full‑Time | SaaS | AI‑Native Platform)
Company: FieldFlo, USA. Industry: Construction • Environmental Services • Demolition • SaaS •
FieldFlo is a fast‑growing, mobile‑first SaaS platform built for the construction, demolition, and environmental services industries. Teams across the U.S. rely on us daily for compliance, safety, time tracking, training, and seamless field operations. We’re backed by industry veterans and growing fast — this is your chance to directly influence a platform that keeps workers safe and projects running smoothly.
🌟 Role Summary: We're looking for a hands-on ML Engineer to build production-grade AI systems that extract structured information from documents, drawings, PDFs, and unstructured data sources.
This is not a research role. We're looking for someone who has personally trained, deployed, and maintained real-world ML systems used by customers in production.
💡 What You’ll Work On
Design and deploy document understanding pipelines for PDFs, drawings, forms, and other unstructured documents.
Train and optimize models such as Donut, LayoutLM, TrOCR, or similar document AI architectures.
Build multi-stage AI workflows combining OCR, computer vision, and LLM-based reasoning.
Develop object detection and extraction models for identifying regions of interest, annotations, tables, labels, and document elements.
Convert extracted information into structured outputs with confidence scoring and traceability.
Build evaluation frameworks, monitoring, and retraining workflows.
Collaborate closely with engineering and product teams to ship AI features into production.
🔧 Must‑Have Qualifications
✅ 3+ years of professional ML Engineering experience
✅ Production experience with Document Understanding solutions
✅ Hands-on experience training or deploying models such as: Donut, LayoutLM, TrOCR, OCR/document , extraction architectures, Equivalent multimodal document AI models
✅ Experience building end-to-end document processing pipelines: OCR, Information extraction, Document classification, Structured data extraction, LLM-based document workflows
✅ Strong Python skills and experience with: PyTorch, Transformers, OpenCV, Hugging Face ecosystem
✅ Experience with cloud platforms: AWS, Azure, GCP
✅ Docker and containerized deployment experience
✅ Strong English communication skills
Nice to have:
⭐ Experience with architectural drawings, engineering plans, construction documents, or technical schematics
⭐ Experience with annotation tools such as: CVAT, Label Studio and Roboflow
⭐ Experience building agentic AI or multi-step LLM pipelines
⭐ Knowledge of PDF rendering, OCR engines, coordinate systems, and document processing frameworks
⭐ Startup or SaaS experience
💼 What We Offer
Full-time remote (with at least 2h overlap with US Mountain Time)
B2B contract
Paid national holidays (based on your country)
Optional unpaid personal time off
3‑month probation
High-impact role shaping the future of an AI-native SaaS platform
📣 Recruitment Process
Initial call with Recruiting Agency HC Solutions
Technical panel interview (Senior Engineer + Tech Lead)
Interview with AI Labs team
Final interview with VP Engineering & CTO

Work arrangement
No