AI Application Developer
Listed on 2026-09-11
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Software Development
Full Stack Developer, Backend Developer, AI Engineer (Applied/Software), Software Engineer
MGRM Pinnacle Inc.
Location:
Tempe, Arizona
Work Arrangement:
This is a full-time, on-site position. Remote work is not available for this role.
MGRM Pinnacle Inc. is seeking an experienced AI Application Developer to design, build, and deliver complete AI-enabled applications across our healthcare, education, compliance, and citizen-facing technology platforms.
This is not a role focused solely on adding AI features to existing applications. We are looking for a strong software engineer who can think across the entire application—from architecture, backend services, APIs, and data models to front-end user experience—and determine how AI should be integrated into the product from the ground up.
The ideal candidate combines solid full-stack application development experience with hands-on experience building applications that use large language models (LLMs), retrieval-augmented generation (RAG), AI assistants, summarization, classification, or agentic workflows.
Key ResponsibilitiesEnd-to-End Application Development
- Design and build complete AI-enabled applications from architecture through deployment.
- Develop backend services, APIs, data models, and user-facing application components.
- Build responsive front-end experiences using modern frameworks such as React, Vue, or Angular.
- Integrate new applications with existing enterprise systems and shared data sources.
- Translate business and operational requirements into secure, scalable technical solutions.
- Build AI capabilities including RAG-based search, summarization, classification, copilot-style assistants, and multi-step agentic workflows.
- Integrate applications with locally hosted and enterprise-managed LLM environments.
- Design, test, version, and improve production prompt templates.
- Develop evaluation methods and test sets to measure AI output quality and reliability.
- Identify and mitigate hallucination, accuracy, latency, context-window, and other LLM-related risks.
- Develop applications in accordance with established security and data-classification requirements.
- Follow secure coding practices and build applications capable of passing automated security and code-quality checks.
- Write unit and integration tests to support reliable releases.
- Follow appropriate secrets-management and credential-handling practices.
- Maintain clear technical documentation for the applications you develop.
- Work with product, engineering, compliance, healthcare, education, and other stakeholders to translate business needs into working applications.
- Take ownership of assigned applications and features from initial design through testing and release.
- Participate in code reviews, technical design discussions, and Agile/Scrum development processes.
- Support documentation and evidence requirements for applications operating in regulated environments.
- Approximately 5 years of professional software engineering experience, including experience building and shipping production applications.
- At least 2 years of hands-on experience developing AI/LLM-based applications.
- Experience developing across the application stack, including backend services, APIs, databases, and front-end interfaces.
- Strong programming experience with one or more of the following:
- Python (FastAPI or Django).
- Java.
- Node.js.
- Type Script.
- Experience with a modern front-end framework such as React, Vue, or Angular.
- Experience designing or consuming REST and/or GraphQL APIs.
- Experience working with SQL databases and at least one No
SQL data store. - Experience with Git-based development workflows, unit testing, and integration testing.
- Hands-on experience building at least one meaningful AI-based application using an…
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