[Hiring] Senior AI Engineer @Monks

Role Description

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

Qualifications

• 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

Company Description

Monks is the global, digital-first, data-driven, unitary operating brand of S4 Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global Marketing and Technology Services to redefine how brands interact with the world.

Through Monks.Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a growth engine, collapsing timelines and connecting brands to culture in real time.

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.