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Monks

Senior AI Engineer - Talent Pool / Future Opportunities

RemoteColombia only
Published
Role
AI / ML
Experience
Senior
Company size
Enterprise
Salary not disclosed
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No BS summary

Senior AI/parsing engineer with 5+ years shipping production software. Needs hands-on experience building LLM/OCR/NLP extraction pipelines, preferably with TypeScript/Node.js or Python, AWS, and AI coding agents. Must be in Colombia and have professional English B2+.

Core skills

LLMsNLPOCR

Required skills

TypeScript/Node.js/PythonAWSClaude CodeCodex

Optional skills

Amazon TextractGoogle Document AIWriter.ai

Required languages

English B2 or higher required

What you'll do

  • Build extraction pipelines that transform documents, transcripts, and records into structured, schema-validated data
  • Combine LLMs with traditional parsing techniques, including OCR and layout analysis, to deliver reliable and cost-aware extraction
  • Design validation rules, confidence-scoring systems, and workflows that route low-confidence cases to human review
  • Build evaluation datasets and testing frameworks that measure extraction accuracy and identify regressions before release
  • Process diverse and degraded inputs, ranging from clean PDFs to poor-quality scans and inconsistent formats
  • Collaborate with clients, product teams, orchestration engineers, and domain experts to ensure clean data flows through the broader system
  • Communicate pipeline capabilities, limitations, quality thresholds, and risks clearly to technical and nontechnical stakeholders
  • Use AI coding agents, including Claude Code and Codex, as part of day-to-day engineering workflows
  • Other duties as assigned

What they require

  • Comfortable working with inconsistent formats, poor scans, and partially structured inputs
  • Approaches extraction with precision, thinking carefully about edge cases, confidence thresholds, and validation
  • Understands the nondeterministic nature of LLM systems and knows how to measure and improve their reliability
  • 5+ years of experience shipping production software
  • Hands-on experience extracting structured data from unstructured sources, including documents, transcripts, or records, using LLMs, classical NLP, and/or OCR
  • Experience with LLM structured outputs, tool calling, and prompt iteration
  • Experience developing in TypeScript and Node.js, or strong software engineering experience in another ecosystem such as Python
  • Familiarity with document AI tools and techniques, including OCR, layout parsing, Amazon Textract, Google Document AI, or similar platforms
  • Experience building and deploying solutions on AWS
  • An evaluation-driven approach to measuring quality, validating results, and iterating based on evidence
  • Strong understanding of edge cases, confidence scoring, schema validation, and nondeterministic systems
  • Professional English proficiency at B2 level or higher
  • Strong written and verbal communication skills, including the ability to explain system capabilities and limitations in plain language
  • Comfort working in a fast-paced, agile consulting environment
  • Experience using AI coding agents such as Claude Code or Codex
  • Preferred: Experience delivering extraction systems in regulated or high-stakes industries such as legal, healthcare, or financial technology
  • Preferred: Experience processing handwriting, multilingual documents, or heavily degraded scans
  • Preferred: Experience building human-in-the-loop review tools for low-confidence outputs
  • Preferred: A background in classical machine learning or NLP, experience with Writer.ai, or relevant open-source contributions

Benefits

  • Equal-opportunity employer committed to building a respectful and empowering work environment
  • Environment where people can freely express themselves among colleagues who embrace diversity

Monks is the global, digital-first, data-driven, unitary operating brand of S4 Capital plc. It provides Marketing and Technology Services and uses its Monks.Flow AI ecosystem for marketing orchestration.

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What people say about this company

3.3/ 5

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