Senior AI Engineer

Able

full-time

Posted on:

Location Type: Remote

Location: Latvia

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Job Level

Senior

Tech Stack

PythonPyTorchTensorflow

About the role

  • We are seeking someone who enjoys working at the cutting edge where Computer Vision meets Logic.
  • You will be responsible for the "eyes" and the "brain" of our system—extracting complex data from visual documents and then orchestrating how that data is used by Large Language Models.
  • Unlocking Visual Data: Building pipelines that can "read" complex documents, understanding layout, charts, and visual context using Vision-Language Models (GPT-4V, Claude 3.5) and Layout Analysis.
  • Orchestrating Intelligence: Owning the application logic layer.
  • Native PDF Handling: Handling the messy reality of PDF processing (PyMuPDF, layout parsing) to preserve structure before the AI even sees it.
  • Prompt Engineering & Logic: Crafting complex prompts and control flows to ensure models interpret financial charts and layouts accurately without hallucinating.
  • Cost & Scale: Applying a cost-optimization mindset (batch processing, model selection) to ensure our vision and orchestration layers are economically viable.

Requirements

  • LLM Orchestration (Must Have): Deep experience with LangChain, LangGraph, or similar frameworks.
  • Multimodal AI Experience: Hands-on experience integrating state-of-the-art vision models (GPT-4V, Claude 3.5 Sonnet) and embedding models (CLIP).
  • Document Intelligence Specialist: Familiarity with specialized models (e.g., Donut, Pix2Struct) and tools like Unstructured.io or Docling.
  • PDF Processing Mastery: Mastery over tools like PyMuPDF or pdfplumber for native element extraction.
  • Python ML Stack: Strong proficiency in PyTorch or TensorFlow.
Benefits
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Applicant Tracking System Keywords

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Hard Skills & Tools
Computer VisionVision-Language ModelsLLM OrchestrationPrompt EngineeringPDF ProcessingPythonPyTorchTensorFlowLangChainLangGraph
Soft Skills
cost-optimization mindsetproblem-solvingattention to detail