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# AI/ML Engineer

- **Company:** Node Inc.
- **Location:** Herndon, VA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Extensible HyperText Markup Language (XHTML), XML Schema, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Cloud Engineering, Computer Programming, Databases, Data Architecture, Data Cleansing, Data Mining, Data Structures, Database Theory, JSON, Python (Programming Language), PostgreSQL, Machine Learning, Microsoft SQL Server, Team Foundation Server, Natural Language Processing, NoSQL, Object-Oriented Software Development, Systems Development Life Cycle, Tensorflow, Azure Machine Learning, Simple Object Access Protocol (SOAP), Software Engineering, Subversion, Systems Integration, Toolchain, Web Applications, Extensible Markup Language (XML), Extensible Stylesheet Language Transformations (XSLT), Chatbots, Pytorch, ReactJS, Large Language Models, Prompt Engineering, Deep Learning, Model Validation, Caching, Generative AI, Git, Vue.js, AngularJS, Uipath, Front End Software Development, Restful APIs, Devsecops, Serverless Computing, Web Api
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/fb5193f8-c15b-4fba-90f1-88adbe170f33

## About the Role

* Overall experience of 6-10 Years working on Application/framework development
 * Min 5+ years of exp in AI/ML-based app/solution development with 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 (LLMs, RAG architectures, prompt engineering, model fne-tuning)
 * Hands-on exp with OCR, ICR and OMR technologies is a must
 * Good programming knowledge in Python and relevant ML/AI frameworks (TensorFlow, PyTorch, LangChain)
 * Good understanding of Document Processing, classifcation, data extraction is a must
 * Knowledge in Natural Language Processing (NLP), Deep Learning, and Generative AI is a must
 * Hands-on Web application/APIs Development experience is a must
 * Profciency in asynchronomulti-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 concepts and Database concepts Experience with databases like SQL Server, PostgreSQL
 * Experience with NoSQL databases and vector databases (for RAG implementations) is a plus
 * Knowledge of AWS cloud architecture patterns and serverless computing
 * Experience with CI/CD pipelines and DevSecOps practices
 * Knowledge of Agile methodologies is desirable
 * Experience working with a toolchain that includes TFS, SVN, Git
 * Involved in different phases of SDLC and have good working exposure on different SDLCs like Agile Methodologies, Experience with front-end frameworks (React, Angular, Vue.js) and modern web development UiPath RPA Developer Certifcation and UiPath AI Center Experience

Knowledge of chatbot development and conversational AI

Experience with AWS Bedrock Agents and Guardrails

Familiarity with model distillation and prompt optimization techniques

Understanding of responsible AI practices and AI security, Bachelor's degree and a minimum of 5 years of experience in automation engineering roles with a focus on AI/ML integrations and generative AI application development

Cultural Fit:

Effective communication skills for technical discussions

Comfortable with Agile methodologies

Ability to work remotely

Alignment with customer's mission and values

Adaptability to varying organizational structures

Data Analysis and Data Architecture Skills

Strong problem-solving abilities for complex AI/ML challenges

## Description

The AI/ML Engineer is the architect and guardian of intelligent automation solutions that incorporate generative AI and machine learning technologies. They ensure the operational efciency and continuous refnement of integrated AI/ML solutions with a strong focus on modern generative AI engineering., Designing and implementing generative AI solutions using Amazon Bedrock, foundation models, and RAG architectures

Building repeatable intelligent solutions/bots for document processing and data cleansing

Developing and deploying scalable ML/AI models on AWS infrastructure

Creating API endpoints and integrations for AI/ML services

Implementing model evaluation, monitoring, and continuous improvement processes Collaborating with cross-functional teams to embed AI capabilities across business functions


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