AI Application Developer

MGRM • Tempe, AZ

5d • Onsite

About The Position

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.

Requirements

• 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, TypeScript.
• 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 NoSQL 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 LLM in production or in a substantial production-oriented prototype.
• Practical experience with one or more of the following: Retrieval-Augmented Generation (RAG), Prompt engineering and prompt templating, AI-powered search, Summarization or classification applications, Copilot-style assistants, Agentic or multi-step AI workflows, LangChain, LlamaIndex, or similar orchestration frameworks, Vector databases such as pgvector, Qdrant, or Milvus, Ollama, vLLM, or similar model-serving environments, Evaluating LLM output for quality, accuracy, and hallucination risk.
• Ability to discuss an application they have built that actually calls and uses an AI model as part of the product.

Nice To Haves

• Docker
• GitHub Actions or GitLab CI
• Postman or API testing
• Kubernetes fundamentals
• Kong API Gateway
• OWASP Top 10 and OWASP LLM Top 10
• Healthcare technology or HL7/FHIR APIs
• Government or e-governance applications
• Regulated or sensitive-data environments
• ISO/IEC 27001 or ISO/IEC 42001
• CMMI-aligned software development environments

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed