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# AI/NLP/Data Engineer

- **Company:** After School Matters, Inc.
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, Airflow, Amazon Web Services, Software Debugging, Linux, Python (Programming Language), Node.Js, Software Engineering, Pytorch, Large Language Models, Deep Learning, Data Pipelines, Docker
- **Published:** August 20, 2026
- **Apply:** https://agentiq.applytojob.com/apply/F5LxX6NkdK/AINLPData-Engineer?source=GS

## About the Role

* Passion for improving AI/NLP models and making them more robust and scalable
 * Ability/desire to work on AI/NLP models requiring little/no training data
 * Thrive in a diverse, dynamic environment that leverages multiple tools and languages
 * The ability to communicate effectively with thoughtfulness and maturity
 * Make technology decisions that are best for the business of Agent IQ
 * Experience building production-quality Gen AI, NLP, speech, or deep learning systems
 * Strong software engineering and interpersonal skills
 * Ability and desire to quickly pick up on new topics and techniques
 * Ability to quickly take an idea from conception and prototyping to deployment in production
 * Masters degree or equivalent in AI/ML/NLP or related field
 * 3+ years in related experience

Our environment

 * AWS/GCP hosted infrastructure
 * Linux
 * Python
 * Airflow
 * Pytorch
 * Node.js
 * Docker

## Description

As a AI/NLP/Large Data Engineer you will be responsible for building and improving ML and gen AI models, and suggestion/support tools, modeling & experimentation frameworks and building out the technical core of AgentIQ. You will be given opportunity to drive positive technology improvements and develop state of the art yet practical NLP/AI applications., * Build and improve NLP/AI models at heart of AgentIQ product

 * Build and improve infrastructure to support NLP/AI modeling, generation, experimentation and deployment
 * Take ownership of NLP/AI trainer tools and data processing pipelines
 * Brainstorm and prototype algorithmic improvements
 * Develop customer specific and financial institutions focused machine intelligence
 * Contribute to deploying/monitoring/debugging models in production
 * Take ownership of NLP/AI trainer tools and data processing pipelines
 * Collaborate with platform teams on developing new tools and features needed for NLP/AI development and deployment
 * Create and maintain documentation
 * Provide internal training on applicable topics


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