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Node.Digital

Senior AI/ML Engineer

Node.Digital

. Design, maintain, and optimize intelligent automation solutions .

Posted 10/9/2026full-timeHerndon • Virginia • United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing generative AI solutions using AWS services, with a strong focus on automation and machine learning. Proficient in developing scalable AI/ML models and integrating AI capabilities across various business functions.

Highest-signal resume keywords
Generative AI Application DevelopmentAWS Services (Amazon Bedrock, SageMaker, Lambda)Machine Learning Frameworks (TensorFlow, PyTorch)API Development and IntegrationAutomation Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Python ProgrammingAI/ML Model DevelopmentDocument Processing Technologies (OCR, ICR, OMR)Natural Language Processing (NLP)Data Structures and AlgorithmsSQL ServerPostgreSQLCI/CD PipelinesAsynchronous ProgrammingAgile Methodologies
Soft Skills
Problem-Solving AbilitiesCollaboration with Cross-Functional Teams
Tools & Technologies
AWS InfrastructureJSONRESTSOAPXHTMLXSDXSLTTFSSVNGit
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
Intelligent Automation SolutionsGenerative AIMachine LearningData ArchitectureAI/ML Integrations

Tech Stack

Tools & technologies
AWSCloudPostgresPythonPyTorchSDLCSOAPSQLSubversionTensorflowTFS

About the role

Key responsibilities & impact
  • Design, maintain, and optimize intelligent automation solutions
  • Troubleshoot and resolve issues in AI Center after implementation
  • Build generative AI applications with embedded artificial intelligence or machine learning
  • Design and implement generative AI solutions using Amazon Bedrock, foundation models, and RAG architectures
  • Build repeatable intelligent solutions and bots for document processing and data cleansing
  • Develop and deploy scalable ML/AI models on AWS infrastructure
  • Create API endpoints and integrations for AI/ML services
  • Implement model evaluation, monitoring, and continuous improvement processes
  • Collaborate with cross-functional teams to embed AI capabilities across business functions

Requirements

What you’ll need
  • Overall experience of 6-10 Years working on Application/framework development
  • Minimum 5+ years of experience in AI/ML-based application/solution development with a strong focus on generative AI applications
  • Hands-on experience with AWS services including Amazon Bedrock, S3, SageMaker, CDK, Lambda, and other AI/ML services
  • Experience with generative AI models and frameworks, including LLMs, RAG architectures, prompt engineering, and model fine-tuning
  • Hands-on experience with OCR, ICR, and OMR technologies
  • Good programming knowledge in Python and relevant ML/AI frameworks, including TensorFlow, PyTorch, and LangChain
  • Understanding of document processing, classification, and data extraction
  • Knowledge of Natural Language Processing (NLP), deep learning, and generative AI
  • Hands-on web application/API development experience
  • Proficiency in asynchronous/multi-threaded programming
  • Strong knowledge of algorithms, data structures, complexity, optimization, caching, and security
  • Experience with JSON, SOAP, REST, XML, XHTML, XSD, and XSLT
  • Strong knowledge of object-oriented and database concepts
  • Experience with SQL Server and PostgreSQL
  • Knowledge of AWS cloud architecture patterns and serverless computing
  • Experience with CI/CD pipelines and DevSecOps practices
  • Experience with TFS, SVN, and Git
  • Involvement in different phases of the SDLC and exposure to Agile methodologies
  • Bachelor's degree
  • Minimum 5 years of experience in automation engineering roles focused on AI/ML integrations and generative AI application development
  • Preferred: US Citizenship
  • Ability to work remotely
  • Data analysis and data architecture skills
  • Strong problem-solving abilities for complex AI/ML challenges

Benefits

Comp & perks
  • Medical
  • Dental
  • Vision
  • Basic Life
  • Health Saving Account
  • 401K Matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training