Full Stack Developer

ValueLabs LLP
Atlanta, GA, United States
19 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

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
+40 more
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

Job 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.

Requirements

  • 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.

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