25madison

Applied AI Engineer

25madison

full-time

Posted on:

Location Type: Remote

Location: California • United States

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Tech Stack

AWSCloudDockerGoogle Cloud PlatformPython

About the role

  • Build, maintain, and scale document ingestion + processing pipelines (PDFs, structured/unstructured docs)
  • Integrate and productionize LLM-powered workflows (extraction, classification, summarization, validation)
  • Improve accuracy, reliability, and cost/performance of models and pipelines
  • Collaborate with product and engineering to turn customer needs into shipped features
  • Add evaluation, monitoring, and feedback loops to continuously improve outputs

Requirements

  • Strong Python engineering skills (production-quality code, testing, debugging)
  • Hands-on applied ML experience, especially NLP / document AI
  • Experience with LLM integration (prompting, structured output, tool/function calling, retrieval)
  • Comfortable owning features end-to-end: from prototype → production → iteration
  • Product-focused mindset (shipping, measuring impact, iterating fast)
  • Experience with OCR, layout parsing, entity extraction, or citation/provenance workflows (nice to haves)
  • Familiarity with cloud infrastructure and deployment (e.g., Docker, Cloud Run, AWS/GCP)
  • Experience building evaluation harnesses for LLM quality (gold sets, metrics, regression testing)
  • Prior work in legal tech, compliance, or other high-accuracy domains
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Pythonmachine learningnatural language processingdocument AILLM integrationOCRlayout parsingentity extractionevaluation harnessesregression testing
Soft Skills
collaborationproduct-focused mindsetiterationdebuggingtesting