> Markdown version of [/jobs/ext/3846891-artificial-intelligence-consultant](https://www.wearedevelopers.com/jobs/ext/3846891-artificial-intelligence-consultant). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Artificial Intelligence Consultant - **Company:** Northtown Automotive Companies Inc. - **Location:** Washington, DC, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** AWS Textract, Java (Programming Language), Artificial Intelligence, Apache HTTP Server, Microsoft Azure, C Sharp (Programming Language), Databases, Continuous Integration, Information Leak Prevention, Data Security, Django Web Framework, Elasticsearch, Github, Information Extraction, JSON, Python (Programming Language), Key Management, PostgreSQL, Machine Learning, Microsoft SQL Server, Software Engineering, Tokenization, LangChain, ReactJS, Flask (Web Framework), Large Language Models, Prompt Engineering, Model Validation, Generative AI, Backend, Git, Fastapi, Vue.js, AngularJS, Information Technology, HuggingFace, Hashicorp, Machine Learning Operations, Front End Software Development, Api Design, Restful APIs, Spacy, Software Version Control, Human in the Loop, OpenSearch, Jenkins - **Published:** October 20, 2026 - **Apply:** https://www.juju.com/job/2_166517364 ## About the Role * AI / NLP / Machine Learning * LLM-based document understanding: prompt engineering, retrieval-augmented generation (RAG), structured/JSON output extraction * NLP frameworks: spaCy, Hugging Face Transformers, LangChain (or equivalent orchestration) * Model evaluation: precision/recall analysis, confidence calibration, human-in-the-loop validation * Document parsing/OCR: Tesseract, AWS Textract, Azure Document Intelligence, PyMuPDF, python-docx, Apache Tika * Experience building hybrid rules-engine plus ML systems (deterministic + probabilistic scoring) Data Security and PII Handling * Tokenization/de-identification: format-preserving encryption, salted hashing, reversible pseudonymization * Secure key management: HashiCorp Vault, AWS KMS, Azure Key Vault (or on-prem equivalent) * Data loss prevention (DLP) principles for on-prem-to-model boundary control Software Engineering / Full-Stack * Back-end: Python (FastAPI/Django/Flask) or Java/C# equivalent; RESTful API design * Front-end: React, Angular, or Vue for HR specialist-facing GUI * Database: PostgreSQL, SQL Server, or similar; audit-log schema design * Search/retrieval: Elasticsearch or OpenSearch * Version control and CI/CD: Git, Jenkins/GitHub Actions/Azure DevOps, * Bachelor's degree in Computer Science, Data Science, Software Engineering, or related field (or equivalent experience) * 5+ years of experience in AI/ML engineering, including NLP-based extraction and xrbllit classification * Demonstrated experience designing on-prem PII de-identification/tokenization pipelines * Full-stack development experience (front-end GUI plus back-end/API architecture) * Experience building confidence-scoring or explainable-AI outputs for human-in-the-loop systems * Experience with agentic AI or multi-step LLM workflows ## Description The ideal candidate is a versatile technical builder fluent across AI/ML engineering, secure data architecture, full-stack development, and system design for regulated, audit-heavy environments.