Senior AI/ML Engineer

Node.Digital

AI/ML Engineer architecting intelligent automation solutions at Node.Digital. Focusing on generative AI applications and AWS infrastructure for enterprise solutions.

Posted 5/22/2026full-timeHerndon • Virginia • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudNoSQLPostgresPythonPyTorchSDLCSOAPSQLSubversionTensorflowTFS

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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 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 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

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

generative AI solutionsmachine learning modelsAPI developmentPythonTensorFlowPyTorchOCR technologiesNatural Language Processingasynchronous programmingCI/CD pipelines