Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).

.Monks Technology Services, part of Media.Monks and S4 Capital, is a global consulting firm mastering AI-powered transformations for the Fortune 100. We combine long-term strategic thinking, deep enterprise experience, and a human-centered approach to help clients transform business processes and dominate their industries.
About the Role
As an AI / Parsing Engineer, you’ll own the foundational pipelines that transform messy documents, scanned records, and call transcripts into structured, reliable data for agentic AI systems. Working within a .Monks delivery team alongside clients, product partners, and domain experts, you’ll build extraction, classification, validation, and evaluation systems that downstream products can trust.
We’re all-in on agentic engineering. Tools such as Claude Code and Codex are part of our everyday workflow, and we’re looking for engineers who are fluent in working alongside AI coding agents and excited to advance these practices.
Responsibilities

• 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

About YouYou’re comfortable working with inconsistent formats, poor scans, and partially structured inputs. You approach extraction with precision, thinking carefully about edge cases, confidence thresholds, and validation. You understand the nondeterministic nature of LLM systems and know how to measure and improve their reliability.   Qualifications & Skills

• 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
• Experience delivering extraction systems in regulated or high-stakes industries such as legal, healthcare, or financial technology is a plus
• Experience processing handwriting, multilingual documents, or heavily degraded scans is a plus
• Experience building human-in-the-loop review tools for low-confidence outputs is a plus
• A background in classical machine learning or NLP, experience with Writer.ai, or relevant open-source contributions is a plus

 

#LI-ML1 #LI-Remote

About Monks

Monks is the global, digital-first, data-driven, unitary operating brand of S4Capital plc, where our culture centers on how we show up for the work and for one another. That begins with the commitment to strive for mastery—taking deep pride in our craft and creating work that sets the bar. In everyday execution, we drive momentum by choosing bold action rather than waiting for certainty. Above all, our teams are stronger together, bringing diverse perspectives into a unified team that communicates with clarity, trust, and mutual respect.
 
This commitment to craft and innovation translates directly into widespread industry acclaim: Monks was named a Contender in The Forrester Wave™: Global Marketing Services and a leader in the 2026 Gartner® Magic Quadrant™ for Global Digital Marketing Agencies. It ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization (2025), Monks was also awarded Business Intelligence Group’s 2026 Excellence in Artificial Intelligence Award in the Human-Machine Interaction Team category. Additionally, Monks.Flow earned AI-based Marketing Solution of the Year at the 2026 AI Breakthrough Awards and a 2026 Global Generative AI Award in the Agentic Marketing Innovation category. Finally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.

We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.