Artificial Intelligence Consultant

Northtown Automotive Companies Inc.
Washington, DC, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

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
+34 more
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

Job 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.

Requirements

  • 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

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