AI Application Platform Engineer

AI Application Platform Engineer Senior Individual Contributor | Full Stack | Generative AI | Agentic Development | Azure Fully Remote Contract Position | 1099 | 80-95 USD/hr Position Summary Osborn & Holloway is seeking a senior AI Application Platform Engineer to help design and build an internal application incubation platform that fundamentally changes how business applications are conceived and developed. The objective is ambitious: create a secure, governed, prompt-driven environment that allows technically curious business users to design and build custom web applications without requiring them to become professional software developers or understand the underlying complexity of enterprise software development. A business user should be able to describe the problem they are trying to solve, refine requirements conversationally, and progressively create a functioning application. Behind that simple experience, the platform must translate business intent into appropriate application architecture, data structures, user experiences, application code, tests, documentation, and deployment artifacts. We are not trying to eliminate SDLC. We are trying to encode SDLC into the platform so the business user does not have to perform it manually. This role will work closely with a complementary Azure Application Platform & DevSecOps Engineer . Together, these engineers will design and build a “system that builds systems.” What Makes This Role Different We are specifically looking for an experienced software engineer who has embraced AI-assisted development and emerging “vibe coding” techniques without abandoning the engineering principles that make enterprise software secure, maintainable, testable, and supportable . The successful candidate will understand traditional software engineering well enough to determine which parts of the development lifecycle can safely be automated, abstracted, or delegated to AI—and which cannot. This is not a traditional application-development position, nor is it simply a prompt-engineering role. The successful candidate will help create the platform, agents, reusable patterns, controls, and abstractions that enable other people to build applications safely.

Key Responsibilities
AI-Assisted Application Engineering
· Design and develop the prompt-driven application-building experience used by non-technical and semi-technical business users.
· Translate natural-language business intent into structured requirements, application specifications, data models, user experiences, and implementation artifacts.
· Develop agentic workflows capable of gathering requirements, identifying ambiguity, asking appropriate follow-up questions, and progressively refining application designs.
· Integrate Azure-hosted generative AI and LLM capabilities into application-development workflows.
· Develop structured prompting, context-management, tool-calling, validation, and orchestration patterns.
· Evaluate and incorporate emerging AI-assisted coding techniques and development tools where they provide meaningful value.
· Establish mechanisms for validating AI-generated code before it can progress through the application lifecycle. Full-Stack Application Development
· Design and develop modern web applications using appropriate JavaScript/TypeScript frameworks and supporting technologies.
· Develop reusable front-end components, APIs, services, templates, application shells, and architectural patterns.
· Design practical relational and non-relational data structures appropriate to generated applications.
· Build reusable application capabilities for authentication, authorization, configuration, logging, error handling, notifications, and other common enterprise requirements.
· Create application scaffolding that allows generated solutions to begin from approved architectural patterns rather than unrestricted blank-slate code generation.
· Ensure generated applications remain understandable, maintainable, testable, and transferable to professional engineering teams when required. Business-to-Application Translation
· Help design conversational experiences that allow business users to describe problems in their own language rather than in software-development terminology.
· Build mechanisms for converting business requirements into structured development artifacts.
· Incorporate business-analysis concepts into the application-generation process, including requirements clarification, use cases, acceptance criteria, process flows, and data requirements.
· Identify when a user’s requested solution has evolved beyond the boundaries appropriate for citizen development.
· Design escalation or “graduation” mechanisms that transition complex or high-risk applications into formal engineering and governance processes. Automated Quality and SDLC
· Build automated testing and validation into the generation process.
· Integrate generated applications with Git-based source control and Azure DevOps.
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