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VGAI Solutions Inc
Full Stack Developer AI Enabled Applications
Career Insights for Application Developer / Engineer
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Scorecard
Based on Maryland data
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What they do
An Application Developer or Engineer designs or improves applications software. Oversees the entire applications development process. Analyzes customer or user needs, designs programs, writes code or instructs computer programmers, tests design, and documents programs. May assist with upgrades or maintenance.
$116,368 / year median in Maryland
-20% projected decline
Job Description
Job Title Full Stack Developer - AI Enabled Applications Location & Work Model Woodlawn, MD - 100% Onsite About the Role 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. Required Experience and Skills
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.
Benefits
- Dental Insurance