Applied AI Engineer – Document Intelligence

Chiri is hiring an Applied AI Engineer to build and deploy a secure, zero-egress RFQ document-screening service for an electronics manufacturer in the defense supply chain. The role owns an end-to-end document intelligence pipeline, comparing local model inference with an Azure Government option and supporting installation, evaluation, and delivery within the client’s security boundary.

Responsibilities:

• Design, develop, and maintain the end-to-end RFQ screening pipeline, from PDF ingestion and document classification to AI-powered extraction, rule application, and structured report generation
• Build document-processing workflows that extract text from PDFs, render drawing pages as images, classify document types, and process complex technical content
• Deploy and optimize open-weight multimodal models for fully offline inference on a single GPU server
• Select appropriate models and quantization strategies to operate within approximately 48 GB of GPU memory
• Develop and refine prompts and extraction logic for quality clauses, material tables, engineering drawings, and technical specifications
• Implement citation-grounded extraction, ensuring every value includes a page reference and supporting source text
• Build validation and rule-based logic to identify potential disqualifiers, compare extracted materials against stock lists, and flag missing or conflicting values
• Develop the same Chiri application layer against Azure OpenAI through Azure Government and a private endpoint, enabling a clean comparison between local inference and the Azure-based option
• Implement a local data store and audit logging system using SQLite or SQL Server Express to record model calls, input file hashes, and generated reports
• Package application releases as signed, offline-installable artifacts with pinned dependencies, a Software Bill of Materials (SBOM), release hashes, and supporting documentation
• Produce data-flow diagrams and technical documentation for each deployment option to support the client's System Security Plan
• Build an evaluation harness that allows the client's estimating team to score report accuracy by field
• Improve extraction quality using aggregate evaluation metrics and scorecards without accessing or receiving the client's underlying production data
• Lead or support the onsite Week 1 working session with estimating, quality, and IT stakeholders to define accuracy targets, select sample RFQs, and establish the disqualifier list
• Support the client's IT team with installation, configuration, and troubleshooting within the agreed security and access boundaries
• Collaborate with Chiri engineers and client stakeholders to translate business requirements into practical, secure, and maintainable technical solutions
• Deliver a final accuracy scorecard comparing the local and Azure-based options, broken down by field
• Contribute technical recommendations and implementation estimates for the potential Phase 1 engagement