Find Jobs
Find Jobs Near You – Available Work in Your Location
Skip to job details
D
Dice.com
Full Stack Developer AI Enabled Applications
Career Insights for Application Developer / Engineer
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on Maryland data
Review key factors to help you decide if this role fits your goals. How is this calculated?
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
Full Stack Developer AI Enabled Applications
Skills
- Python
- Full Stack Development
- Generative AI
- Azure AI
- Azure OpenAI
- Azure AI Search
- Azure Vision
- AWS Bedrock
- Amazon Web Services (AWS)
- Microsoft Azure
- AI/ML
- RAG
- NLP
- JavaScript
- Node.js
- React
- Angular
- C#
- Java
- RESTful APIs
- Microservices
- Python Web Frameworks
- Docker
- OpenShift
- Jenkins
- Bitbucket
- Azure DevOps
- CI/CD
- Agile Methodologies
- Version Control
- Unit Testing
- Azure Machine Learning
- Azure Cognitive Services
- Azure Databricks
- Azure Synapse Analytics
- Data Preprocessing
- Data Cleaning
- Jupyter Labs
- Jupyter Notebooks
- Pandas
- PyTorch
- Cloud Deployment
- AI Model Integration
- AI Security
- Ethical AI
- Data Privacy
- Compliance
- Software Development
- Production Deployment
- Python
- Full Stack Development
- Generative AI
- Azure AI
- Azure OpenAI
- Azure AI Search
- Azure Vision
- AWS Bedrock
- Amazon Web Services (AWS)
- Microsoft Azure
- AI/ML
- RAG
- NLP
- JavaScript
- Node.js
- React
- Angular
- C#
- Java
- RESTful APIs
- Microservices
- Python Web Frameworks
- Docker
- OpenShift
- Jenkins
- Bitbucket
- Azure DevOps
- CI/CD
- Agile Methodologies
- Version Control
- Unit Testing
- Azure Machine Learning
- Azure Cognitive Services
- Azure Databricks
- Azure Synapse Analytics
- Data Preprocessing
- Data Cleaning
- Jupyter Labs
- Jupyter Notebooks
- Pandas
- PyTorch
- Cloud Deployment
- AI Model Integration
- AI Security
- Ethical AI
- Data Privacy
- Compliance
- Software Development
- Production Deployment
- Summary
PLEASE NOTE
- It is a 100% onsite position.
- Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week.
- Selected candidate must be able to obtain and maintain a public trust clearance.
KEY REQUIRED SKILLS
- This role will play a critical role in implementing a proof of concept in the production environment and will needs to be a hands-on developer.
- The ideal candidate is passionate about understanding and experimenting with AI technologies that benefit society while minimizing risks.
POSITION DESCRIPTION
- Collaborate with stakeholders to understand and refine customer-provided use cases for Generative AI solutions.
- Design, develop, and implement end-to-end Proofs of Concept (PoCs) using Azure AI and AWS Bedrock platforms.
- Build and maintain scalable, secure, and robust web applications, integrating Generative AI models and APIs.
- Develop both front-end and back-end components, ensuring seamless user experience and efficient data processing.
- Rapidly prototype and iterate on application features based on feedback and evolving requirements.
- Integrate cloud services and manage deployment pipelines for PoC applications.
- Document technical designs, development processes, and application architecture for knowledge sharing and future reference.
- Collaborate with cross-functional teams, including data scientists, UI/UX designers, and project managers, to deliver high-quality solutions.
- Conduct code reviews, testing, and debugging to ensure application reliability and performance.
- Stay current with emerging technologies and best practices in Generative AI and full stack development.
SKILL REQUIREMENTS
BASICQUALIFICATIONS
- Master's and 5+ years of experience, Bachelor's and 7+ years of experience or 13+ years in lieu of a degree
- 5+ years of experience in full stack development, including both front-end and back-end technologies.
- 3+ years of experience in Python development. You should be comfortable writing clean, efficient code.
- Hands-on experience developing applications using cloud platforms such as Microsoft Azure and/or Amazon Web Services.
- Familiarity with Generative AI concepts and experience integrating AI/ML models or APIs into applications.
- Proficiency in programming languages such as Python, JavaScript (Node.js, React, or Angular), or similar technologies.
- Experience with RESTful APIs, microservices architecture, and containerization (e.g., OpenShift or Docker).
- Strong understanding of software development best practices, version control (e.g., Bitbucket), and agile methodologies.
- Excellent problem-solving skills and ability to work collaboratively in a team environment.
- Clear and effective communication skills are necessary for collaborating with team members, presenting findings, and explaining complex AI concepts to non-technical stakeholders.
REQUIRED SKILLS
- Proficiency in utilizing Microsoft Azure services, with a focus on AI and ML services such as Azure OpenAI, Azure AI Search, and Azure Vision.
- Understanding of fundamental AI and RAG concepts for developing generative AI applications.
- Commitment to ethical AI development, ensuring adnce to principles like fairness, transparency, accountability, and privacy in AI applications.
- Proficient in Python and familiar with current best practices and recent language features.
- Experience with Python web frameworks for building APIs and backend services.
- Strong experience in implementing and consuming RESTful web services.
- Solid experience with software development best practices, including unit testing, continuous integration with tools like Jenkins, and version control with Bitbucket.
- Experience with containerization and orchestration tools like Docker and OpenShift will be beneficial for deployment and scaling applications.
- Familiarity with Azure DevOps for automating builds, testing, and deployment processes within Azure.
- Understanding of compliance and security best practices within Azure, especially concerning handling sensitive data such as personal disability information.
DESIRED SKILLS
- Familiarity with the Azure OpenAI API and its capabilities for natural language processing (NLP) and generative modeling is highly desirable.
- Mastery of Azure AI services beyond the basics, including Azure Machine Learning, Azure Cognitive Services, Azure Databricks, and Azure Synapse Analytics, would make you a valuable asset. This includes understanding how to leverage these services in combination with Azure OpenAI frameworks for enhanced functionality and scalability.
- Ability to preprocess, clean, and manipulate data for RAG ingestion.
- Hands-on experience deploying generative AI models into production environments on Azure infrastructure is highly desirable. Understanding deployment considerations such as containerization, orchestration, monitoring, and security ensures smooth integration of AI solutions into real-world applications.
- Proficiency in C# and Java.
- Delivery (CI/CD) best practices and use of DevOps to accelerate quality releases to Production.
- Familiarity with data science tools, libraries, and frameworks (e.g., Jupyter Labs/Notebooks, pandas, PyTorch) is a strong plus.
- Awareness of issues and trends in Generative AI and Pythonic use of these is desirable.