Senior AI/ML Engineer
Read straight from Node.Digital's careers page, verified 11h ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
LocationHerndon, Virginia, United States
Work modehybrid
Typefull-time
SenioritySenior
Experience5–10 yrs
DepartmentFederal
Company size51–200 people
PostedOct 15, 2026 · 2w ago
Verified live11h ago
Reposted once in the last 6 monthsEarliest listing first seen Oct 14, 2026
How we check a job is still liveAt a glanceSummarised by Seekless from the posting.
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 fine-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, classification, 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
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 concepts and Database concepts
Experience with databases like SQL Server, PostgreSQL
Knowledge of AWS cloud architecture patterns and serverless computing
Experience with CI/CD pipelines and DevSecOps practices
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
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
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
Experience with NoSQL databases and vector databases (for RAG implementations) is a plus
Knowledge of Agile methodologies is desirable
Experience with front-end frameworks (React, Angular, Vue.js) and modern web development
UiPath RPA Developer Certification 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
US Citizenship
Skills
AWS
Amazon Bedrock
S3
SageMaker
CDK
Lambda
Python
TensorFlow
PyTorch
LangChain
OCR
ICR
OMR
NLP
Deep Learning
Generative AI
JSON
SOAP
REST
XML
XHTML
XSD
XSLT
SQL Server
PostgreSQL
NoSQL
vector databases
CI/CD
DevSecOps
TFS
SVN
Git
React
Angular
Vue.js
UiPath
Benefits
Medical
Dental
Vision
Basic life
Health savings account
401(k)
PTO
Paid holidays
Tuition reimbursement
Senior AI/ML Engineer
Location: Herndon, VA (Hybrid Work)
Preferred: US Citizenship
About the company
Node.Digital is an innovative solutions development company that combines agile development services with next-generation technologies in Cloud, Mobile, and AI/Machine Learning. We deliver state-of-the-art enterprise solutions to both government and commercial clients. We are looking for talented people to join our efforts to enable digitalization of organizations with AI Automation and Machine Learning.
Role: AI/ML Engineer
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.
Requirements
Required Skills:
•
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
Responsibility:
Your responsibility spans the design, maintenance, and optimization of intelligent automation solutions including AI Center troubleshooting and resolution of issues that might arise post-implementation. You will focus on building generative AI applications with embedded artifcial intelligence or machine learning in support of continuous improvement, learning and augmented decision-making.
Key responsibilities include:
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
Nice to Have:
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
Recommended Certifcations:
AWS Certifed Machine Learning – Specialty
AWS Certifed Solutions Architect
General AI/ML Certifcations (TensorFlow Developer, Azure AI Engineer
UiPath AI Center Experience (nice to have)
Eucation/Year of Exp:
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
Benefits
•
Medical
•
Dental
•
Vision
•
Basic Life
•
Health Saving Account
•
401K Matching
•
Three weeks of PTO/Sick
•
11 Paid Holidays
•
Pre-Approved Online Training