Node.Digital
Intelligent Automation/AI-ML Engineer (Full Stack Engineer)
Herndon, Virginia · Full-time · Posted Oct 28, 2026
- Experience
- 8+ years stated; no alternatives stated.
- Education
- Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related field (or equivalent experience).
- Visa sponsorship
- U.S. citizenship is required to meet the project’s eligibility and security clearance requirements.
About the job
Designs, builds, operates, and supports full-stack intelligent applications that integrate open-source AI/ML with business workflows, especially for document processing and data cleansing.
What you'll do
- Develop end-to-end applications and reusable AI components, including MCP servers, APIs, user interfaces, databases, and business rules.
- Manage and optimize AI/ML models and pipelines, including monitoring, retraining, human feedback, and performance tuning.
- Troubleshoot production issues, perform root cause analysis, and maintain support documentation in collaboration with business and technical teams.
What they ask for
- Bachelor’s degree in a related field or equivalent experience.
- Hands-on experience developing intelligent applications and enterprise applications, including document processing and data cleansing solutions.
- Proficiency in Python and Java for backend services, Angular for front ends, and common ML libraries; hands-on MCP experience.
- Knowledge of the ML lifecycle, APIs, SQL, data formats, and relational and/or NoSQL databases.
Nice to have
- Certifications in cloud, AI/ML, or software development; experience with OCR, NLP, computer vision, or generative AI/LLM integration.
- Familiarity with Azure, AWS, or GCP, MLOps, Agile, CI/CD, Git, data governance, security, or responsible AI.
Tools
Python, Java, Angular, scikit-learn, pandas, TensorFlow, PyTorch, Model Context Protocol (MCP)
AI focus
Build and operate AI/ML-enabled applications and reusable document-processing, extraction, classification, and data-cleansing solutions; manage model lifecycle, performance, drift, and feedback-driven refinement.
Model-written summary · the original posting is authoritative