Full Stack Developer - AI Enabled Applications

Vgai Solutions Inc

United States

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Java (Programming Language) JavaScript (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Unit Testing Microsoft Azure C Sharp (Programming Language) Cloud Computing Cloud Computing Security Data Cleansing

+31 more

Software Debugging DevOps Monitoring of Systems Python (Programming Language) Node.Js OpenShift Azure Machine Learning Search Technologies Software Deployment Software Engineering TypeScript Web Application Frameworks Data Processing Pytorch ReactJS Generative AI Jupyter Backend Pandas AngularJS Kubernetes Bitbucket Front End Software Development Restful APIs Azure Synapse Analytics Software Version Control Data Pipelines Docker Jenkins Databricks Microservices

Job description

Role Responsibilities

· Design, build, and maintain full stack web applications, front-end interfaces, and backend systems.

· Develop and consume RESTful microservices.

· Integrate AI APIs, including Azure OpenAI, Azure AI Search, and Azure Vision.

· Implement Generative AI and Retrieval-Augmented Generation (RAG) architectures.

· Automate builds, testing, and deployments using CI/CD pipelines.

· Apply Azure security controls to safeguard sensitive data.

· Ensure AI solutions comply with ethical AI principles regarding fairness, transparency, accountability, and privacy.

· Communicate technical and AI concepts clearly to non-technical stakeholders.

Requirements

· Full Stack Development: 5+ years of combined front-end and back-end development experience.

· Python: 3+ years of experience with modern Python and Python web frameworks.

· Front-End & Node: Hands-on experience with JavaScript or TypeScript, Node.js, and React or Angular.

· Cloud Platforms: Direct experience working with both AWS and Azure.

· AI & RAG: Solid knowledge of Generative AI principles and RAG application design.

· DevOps & Containers: Experience with Azure DevOps, Docker, OpenShift, Jenkins, and Bitbucket.

· Core Practices: Experience in Agile environments, unit testing, debugging, and version control.

· Security & Ethics: Working knowledge of Azure security standards and ethical AI guidelines.

Preferred Qualifications

· Hands-on production deployment of GenAI models and NLP solutions using Azure OpenAI API.

· Experience with Azure ML, Cognitive Services, Databricks, and Synapse.

· Proficiency in data manipulation using Jupyter, Pandas, and PyTorch.

· Experience with RAG data preprocessing, data cleaning, and data pipelines.

· Knowledge of C# and Java programming languages.

· Familiarity with advanced container orchestration, system monitoring, and cloud security frameworks.

About the company

VGAI Solutions is an AI-native and technology solutions firm that helps organizations build high-performing engineering and technology teams. MBE-certified and ISO 9001-registered, we operate across the USA, Mexico, UAE, Mauritius, and India, with our Global Delivery Center in Hyderabad. From specialized IT to engineering talent to end-to-end AI solutions, we deliver the human capital that powers our Fortune 1000 clients.