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# Full Stack Developer

- **Company:** ValueLabs LLP
- **Location:** Atlanta, GA, United States
- **Experience:** Experienced
- **Contract:** Contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Cascading Style Sheets (CSS), Cloud Computing, Code Review, Continuous Integration, DevOps, Github, Mobile Application Software, Python (Programming Language), Machine Learning, Natural Language Processing, Node.Js, Performance Tuning, Software Architecture, Recommender Systems, Tensorflow, Secure Coding, Web Application Frameworks, Google Cloud, Enterprise Software Applications, Chatbots, Pytorch, ReactJS, Apache Spark, Backend, Event Driven Architecture, Containerization, AngularJS, Gitlab-ci, Scikit Learn, Kubernetes, Information Technology, Deployment Automation, ONNX (Open Neural Network Exchange) Format, Apache Kafka, Graphql, Machine Learning Operations, Front End Software Development, Api Design, Restful APIs, Stream Processing, Devsecops, Docker, Jenkins, Microservices
- **Published:** October 14, 2026
- **Apply:** https://www.dice.com/job-detail/4774f8a1-f1d1-4fa8-9fa6-a09457ca356f

## About the Role

* Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
 * 4+ years of experience in full-stack development with proven delivery in enterprise applications.
 * Strong proficiency in front-end (React, Angular, HTML/CSS/JavaScript) and back-end (Node.js, .NET, Java, Python) technologies.
 * Hands-on experience with AI/ML integration in real-world applications (e.g., chatbots, recommendation systems, anomaly detection).
 * Experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) and deployment tools (ONNX, TensorFlow Serving, MLflow).
 * Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform), containerization (Docker, Kubernetes), and CI/CD tools (Jenkins, GitHub Actions, GitLab CI).
 * Experience with API design, security best practices, and performance optimization.
 * Strong problem-solving skills, attention to detail, and a passion for innovation., * Experience working with generative AI platforms such as AiDE® or similar enterprise AI development environments.
 * Knowledge of DevSecOps, compliance standards (ISO 27001, ISO 27701), and secure coding practices.
 * Exposure to real-time data processing (Kafka, Spark) and event-driven architectures.
 * Experience in industries such as real estate, healthcare, finance, or human capital management is a plus.

## Description

* Design, develop, and maintain full-stack applications using modern frameworks (e.g., React, Angular, Node.js, .NET, Java).
 * Integrate AI/ML models (e.g., NLP, computer vision, predictive analytics) into web and mobile applications using APIs, microservices, or embedded inference engines.
 * Build and manage RESTful and GraphQL APIs to support AI-driven features such as chatbots, recommendation engines, and intelligent automation.
 * Collaborate with data scientists and AI engineers to deploy, monitor, and optimize AI models in production environments.
 * Implement DevOps and DevSecOps practices including CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure-as-code (IaC).
 * Ensure application scalability, security, and performance across cloud platforms (AWS, Azure, or Google Cloud Platform).
 * Work within agile teams to deliver high-quality features with a focus on continuous integration, testing, and feedback loops.
 * Contribute to architectural decisions, code reviews, and technical documentation.
 * Stay updated with emerging AI trends and evaluate their applicability to product development.