Node.Digital LLC
Required: US Citizenship
Location: Herndon, VA (Hybrid Work)
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.
Requirements
Overall experience of 6-10 years working on application/framework development
Minimum 5+ years of experience in AI/ML-based app/solution development with a 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 experience 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 experience with web application/APIs development 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 SQL Server and 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 artificial 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 / Years 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
#J-18808-Ljbffr
Location: Herndon, VA (Hybrid Work)
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.
Requirements
Overall experience of 6-10 years working on application/framework development
Minimum 5+ years of experience in AI/ML-based app/solution development with a 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 experience 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 experience with web application/APIs development 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 SQL Server and 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 artificial 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 / Years 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
#J-18808-Ljbffr