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Able

AI-driven software solutions for PE growth

AI Senior Engineer - Vision

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Deep experience with LangChain, LangGraph, or similar frameworks, including managing context windows, tool calling, and agentic workflows.
  • Hands-on experience integrating vision models and embedding models such as CLIP.
  • Familiarity with specialized document intelligence models such as Donut and Pix2Struct, and tools such as Unstructured.io or Docling.
  • Mastery of PDF-processing tools such as PyMuPDF or pdfplumber for native element extraction.
  • Strong proficiency with PyTorch or TensorFlow.
  • Strong verbal and written communication skills in English.
  • Availability to work 40 hours per week and during normal business hours as needed.

Responsibilities

  • Build pipelines that extract complex data from visual documents, including layout, charts, and visual context, using vision-language models and layout analysis.
  • Own the application logic layer, using LangChain or LangGraph to build agents and chains that query data, reason about it, and generate responses.
  • Process PDFs and preserve their structure using native PDF-handling and layout-parsing tools.
  • Craft prompts and control flows to improve accurate model interpretation of financial charts and layouts and reduce hallucinations.
  • Optimize costs and scalability through approaches such as batch processing and model selection.

Desired Qualifications

  • Experience fine-tuning vision or language models to improve accuracy on domain-specific artifacts such as financial charts or tables.
  • Prior experience handling documents in the real estate or finance sectors.

About the Company

Able

AI-driven software solutions for PE growth

Able helps Private Equity and Venture-backed companies grow faster by designing, building, and implementing software solutions powered by Artificial Intelligence. It offers tailored software and consultancy that start with identifying opportunities, then building strategic roadmaps and investment plans, and finally delivering custom software and ongoing support. The products work by combining AI-driven development with practical project-based engagements to fix legacy systems, reduce tech debt, and improve customer experiences, operations, and talent efficiency so clients can bring products to market more quickly. Able differentiates itself by pairing hands-on software delivery with strategic guidance focused on growth, cost reduction, and portfolio optimization, supported by a distributed team of builders. Its goal is to help clients achieve faster product delivery, stronger growth, and better profitability through technology.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2008

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