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# Applied AI Specialist - Cloud Full Stack

- **Company:** Computer Task Group, Inc
- **Location:** Dallas, TX, United States
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Microsoft Azure, Cloud Computing, Continuous Integration, Software Debugging, IBM Cloud Computing, Python (Programming Language), Machine Learning, Node.Js, Tensorflow, Standard Sql, Azure Machine Learning, Software Engineering, TypeScript, Pytorch, ReactJS, Large Language Models, Prompt Engineering, Generative AI, AWS Lambda, Git, Build Management, Containerization, AI Platforms, Scikit Learn, Kubernetes, Information Technology, HuggingFace, Xgboost, Machine Learning Operations, Virtual Agents, Restful APIs, Docker, Databricks
- **Published:** July 30, 2026
- **Apply:** https://dejobs.org/x/x/6B3E403DA5CF4F29A0B2BAB878D72E56/job/

## About the Role

* Python, SQL
 * LangChain, LangGraph, Agentic AI
 * LLMs, Prompt Engineering, RAG, FAISS, Vector Databases
 * Hugging Face, Transformers, BERT
 * Scikit-learn, XGBoost, PyTorch, TensorFlow
 * REST APIs, Git, CI/CD, Kubernetes
 * AWS SageMaker, Azure ML Studio, IBM Cloud
 * Strong debugging, analytical, and problem-solving skills

Preferred Skills:

 * MCP
 * GraphRAG
 * MLflow, Databricks, Docker, AWS Lambda, Amazon S3
 * Model Drift Monitoring and Observability
 * React, Node.js, TypeScript

Education:

 * Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or a related technical field, or equivalent experience.
 * Master's degree in Artificial Intelligence, Machine Learning, Computer Science, or a related discipline is preferred.

Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

## Description

Join an innovative team developing enterprise AI solutions using Generative AI, Large Language Models (LLMs), and cloud-native technologies. You'll build intelligent applications utilizing RAG, agentic AI, vector databases, and modern machine learning frameworks while deploying scalable solutions across AWS, Azure, and IBM Cloud., * Build and deploy AI/ML applications using Python and cloud technologies.

 * Develop LLM, RAG, and agentic AI solutions with LangChain and LangGraph.
 * Create scalable APIs and AI services using Kubernetes and CI/CD pipelines.
 * Design vector search, embeddings, and semantic retrieval solutions.
 * Evaluate and optimize LLM performance through prompt engineering, guardrails, and automated evaluation frameworks.
 * Partner with business and technical teams to deliver production-ready AI solutions.


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