Senior AI/ML Engineer

Node.Digital LLC; Herndon (VA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Basic Life

Health Saving Account

401K Matching

Three weeks PTO/Sick

11 Paid Holidays

Pre-Approved Online Training

Job summary

Node.Digital LLC in Herndon, VA, seeks a Senior AI/ML Engineer to design, implement, and optimize intelligent automation solutions leveraging generative AI and AWS Bedrock. The role focuses on building AI-powered applications with robust data processing and secure, scalable cloud deployments.

You will work across AI/ML models, RAG architectures, OCR/ICR/OMR tech, and API integrations, collaborating with agile teams to drive continuous improvement and delivery.

Qualifications

• Bachelor's degree and minimum 5 years in automation engineering roles focusing on AI/ML integrations.
• 5+ years in AI/ML-based app/solution development with generative AI focus.
• Hands-on experience with AWS services including Bedrock, S3, SageMaker, CDK, Lambda.
• Experience with generative AI models and RAG architectures.
• Proficiency in Python and ML/AI frameworks (TensorFlow, PyTorch).

Responsibilities

• Design and implement generative AI solutions using Bedrock and RAG architectures.
• Build repeatable intelligent solutions 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.
• Collaborate with cross-functional teams to embed AI capabilities.

Skills

Generative AI

NLP

Deep Learning

API Development

Asynchronous programming

Agile methodologies

Data Structures/Algorithms

Problem solving

Remote collaboration

Education

Bachelor's degree

Tools

AWS Bedrock

S3

SageMaker

CDK

Lambda

TensorFlow

PyTorch

LangChain

OCR/ICR/OMR tech

Job description

Senior AI/ML Engineer

Location: Herndon, VA (Hybrid Work)

Preferred: US Citizenship

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 efficiency and continuous refinement of integrated AI/ML solutions with a strong focus on modern generative AI engineering.

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
• 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
• 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

Responsibilities

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.

• 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 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

Recommended Certifications

• AWS Certified Machine Learning – Specialty
• AWS Certified Solutions Architect
• General AI/ML Certifications (TensorFlow Developer, Azure AI Engineer)
• UiPath AI Center Experience (nice to have)

Education/Year of Experience

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