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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Generative AI Solution Development - **Company:** Inspyr Solutions - **Location:** Milford Mill, MD, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Applications Architecture, Unit Testing, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Code Review, Continuous Delivery, Continuous Integration, Data Cleansing, Software Debugging, DevOps, Design of User Interfaces, Python (Programming Language), Machine Learning, Natural Language Processing, Node.Js, OpenShift, Cloud Services, Azure Machine Learning, Search Technologies, Software Deployment, Software Engineering, Systems Integration, Web Applications, Web Application Frameworks, Software Organization, Data Processing, Pytorch, ReactJS, Delivery Pipeline, Software Application Programming, Generative AI, Jupyter, Backend, Containerization, AngularJS, Deployment Automation, Bitbucket, Front End Software Development, Api Design, Restful APIs, Azure Synapse Analytics, Software Version Control, Docker, Jenkins, Databricks, Microservices - **Published:** June 12, 2026 - **Apply:** https://www.dice.com/job-detail/9328e11d-bdb1-4a9e-b4e7-ab4a91d662d2 ## About the Role Full Stack & Software Development * 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. * 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. Cloud & AI Experience * 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. Professional Skills * 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., * Selected candidate must be able to obtain and maintain a public trust clearance * Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week * Master''s and 5+ years of experience, Bachelor''s and 7+ years of experience or 13+ years in lieu of a degree Azure AI & Generative AI * 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 adherence to principles like fairness, transparency, accountability, and privacy in AI applications. Python & API Development * 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. DevOps & Software Engineering * 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. Security & Compliance * Understanding of compliance and security best practices within Azure, especially concerning handling sensitive data such as personal disability information., Advanced Azure AI Expertise * 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. RAG & Data Preparation * Ability to preprocess, clean, and manipulate data for RAG ingestion. Production AI Deployments * 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. Additional Technical Skills * 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. ## Description Generative AI Solution Development * 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. Cloud & Application Deployment * Integrate cloud services and manage deployment pipelines for PoC applications. Documentation & Collaboration * 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. Quality & Continuous Improvement * 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. ## Related Videos - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Kubernetes dev is fun, but setup and ops isn't! 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