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.
Apply for this position
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Prepare application
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