Intelligent Automation & AI/ML Engineer (Hybrid, Open-Source)

Node.Digital; Herndon (VA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Basic Life Insurance

Health Saving Account

401K Matching

PTO/Sick Leave (3 weeks)

11 Paid Holidays

Pre-Approved Online Training

Job summary

Node.Digital seeks an Intelligent Automation/AI-ML Engineer to architect, deploy and optimize AI-driven automation using open-source models and MCP integrations. You will design scalable AI solutions, ensure model performance, and collaborate across engineering and data teams.

The role emphasizes MLOps, model retraining, cost-aware token management and responsible AI practices in a hybrid Herndon, VA setting with federal project considerations.

Qualifications

• Strong Python skills and experience with ML/LLM frameworks such as PyTorch, Hugging Face Transformers, LangChain/LlamaIndex or similar.
• Hands-on experience with open-source LLMs, including deployment and inference serving and fine-tuning techniques.
• Practical experience with the Model Context Protocol (MCP) or comparable tool-integration and agent frameworks.
• Experience building document processing solutions (OCR, NLP, information extraction) and data cleansing pipelines.
• Working knowledge of MLOps practices and tools (CI/CD, containerization with Docker/Kubernetes, model registries, monitoring).

Responsibilities

• Architect, design and build intelligent automation solutions that embed AI/ML capabilities using open-source models and MCP-based integrations.
• Develop MCP servers and clients that securely connect models to enterprise tools, data sources and workflows.
• Build repeatable, reusable intelligent solutions and bots for document processing (classification, extraction, summarization, validation) and data cleansing (deduplication, normalization, enrichment, anomaly detection).
• Design agentic and human-in-the-loop workflows that support augmented decision making.
• Create reusable components, templates and patterns that accelerate delivery across the organization.
• Maintain and optimize deployed AI/ML solutions for reliability, accuracy and operational efficiency.
• Troubleshoot and resolve post-implementation issues, including model drift, integration failures, data quality problems and performance degradation.

Skills

Python

ML/LLM frameworks

MCP

Document processing

Troubleshooting

Education

Bachelor's degree in CS/Engineering or related field

Tools

Docker

Kubernetes

MLflow

DVC

Job description

Node.Digital seeks an Intelligent Automation/AI-ML Engineer to architect, deploy and optimize AI-driven automation using open-source models and MCP integrations. You will design scalable AI solutions, ensure model performance, and collaborate across engineering and data teams.

The role emphasizes MLOps, model retraining, cost-aware token management and responsible AI practices in a hybrid Herndon, VA setting with federal project considerations.