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AI Application Developer

Job in Tempe, Maricopa County, Arizona, 85285, USA
Listing for: MGRM
Full Time position
Listed on 2026-09-11
Job specializations:
  • Software Development
    Full Stack Developer, Backend Developer, AI Engineer (Applied/Software), Software Engineer
Salary/Wage Range or Industry Benchmark: 110000 - 140000 USD Yearly USD 110000.00 140000.00 YEAR
Job Description & How to Apply Below

MGRM Pinnacle Inc.

Location:

Tempe, Arizona

Work Arrangement:
This is a full-time, on-site position. Remote work is not available for this role.

About the 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 Responsibilities
End-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.
AI & LLM Development
  • 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.
Secure & Reliable Development
  • 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.
Collaboration & Product Ownership
  • 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.
Required Qualifications
  • 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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