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Node.Digital
Node.Digital
11 – 50 Employees
ConsultingLogisticsMarketing
Node.Digital is a digital automation company that helps organizations address complex mission and business challenges through artificial intelligence, machine learning, cloud technologies, and modern software delivery. Its work spans digital applications, cloud-native development, application modernization, cloud migration, DevSecOps, robotic process automation, chatbots, and chat automation. The company also supports digital transformation and engagement initiatives designed to make transactions more seamless and services easier to use. Its multidisciplinary focus across consulting, marketing, and logistics creates opportunities for professionals working on practical technology solutions and large-scale digital change.
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Senior AI/ML Engineer

Design generative AI, retrieval-augmented generation (RAG), and AWS solutions for Node.Digital’s government and commercial clients. Develop intelligent automation for document processing and business decision-making.

USUnited StatesVAVirginiaHybridFull-timeSeniorEnglish RequiredMachine Learning Engineer
AWSAzureCloudNoSQLPostgresPythonPyTorchRPASDLCSOAPSQLSubversionTensorflowTFS

Description

  • Create and improve intelligent automation solutions
  • Resolve issues in AI Center after implementation
  • Build generative AI applications using AI and machine learning
  • Design generative AI solutions with Amazon Bedrock, foundation models, and RAG architectures
  • Develop reusable automation solutions and bots for document processing and data cleansing
  • Build and deploy scalable machine learning and AI models on AWS
  • Create APIs and integrations for AI and machine learning services
  • Establish model evaluation, monitoring, and ongoing improvement processes
  • Work with cross-functional teams to integrate AI capabilities across business functions

Requirements

  • Bring 6–10 years of experience in application or framework development.
  • Have at least five years of experience developing AI/ML applications or solutions, with a strong focus on generative AI.
  • Have hands-on experience with AWS services such as Amazon Bedrock, S3, SageMaker, CDK, Lambda, and other AI/ML services.
  • Have experience with generative AI models and methods, including large language models, RAG architectures, prompt engineering, and model fine-tuning.
  • Have hands-on experience with OCR, ICR, and OMR technologies.
  • Know Python and relevant AI/ML frameworks, including TensorFlow, PyTorch, and LangChain.
  • Understand document processing, classification, and data extraction.
  • Know natural language processing, deep learning, and generative AI.
  • Have hands-on experience developing web applications and APIs.
  • Be proficient in asynchronous and multithreaded programming.
  • Have a strong grasp of algorithms, data structures, complexity, optimization, caching, and security.
  • Have experience with JSON, SOAP, REST, XML, XHTML, XSD, and XSLT.
  • Have a strong understanding of object-oriented and database concepts.
  • Have experience with SQL Server and PostgreSQL.
  • Experience with NoSQL and vector databases is a plus.
  • Understand AWS cloud architecture patterns and serverless computing.
  • Have experience with CI/CD pipelines and DevSecOps practices.
  • Knowledge of Agile methods is desirable.
  • Have experience with TFS, SVN, and Git.
  • Have worked across different SDLC phases and methodologies.
  • Hold a bachelor’s degree and have at least five years of experience in automation engineering focused on AI/ML integrations and generative AI application development.
  • US citizenship is preferred.
  • AWS Certified Machine Learning – Specialty certification is recommended.
  • AWS Certified Solutions Architect certification is recommended.
  • General AI/ML certifications, such as TensorFlow Developer or Azure AI Engineer, are recommended.
  • UiPath RPA Developer Certification and UiPath AI Center experience are nice to have.

Benefits

  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Basic life insurance
  • Health Savings Account
  • 401(k) matching
  • Three weeks of paid time off and sick leave
  • 11 paid holidays
  • Pre-approved online training

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