Full Stack AI

Design, build, and support highly available applications using React, Node.js, and serverless APIs, including secure sign-in, access control, and reliable integrations.

Deliver LLM applications and AI agents using Agentic AI, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs) on Microsoft Foundry, incorporating tool use, guardrails, prompt design, and evaluation.

Develop, deploy, and maintain machine learning models for predictive analytics, forecasting, and budgeting.

Build data pipelines, database schemas, and APIs that provide accurate information to applications and AI solutions.

Use Claude Code and AI coding agents in daily development, reviewing and correcting their output.

Write unit, integration, and browser tests; deliver changes through CI/CD pipelines; and resolve application and data integrity issues at their root cause.

Support migration of legacy systems to modern cloud, data, and AI technologies.

A business solutions-oriented mindset, strong problem-solving skills, and ownership of application quality from design through ongoing support.

Confidence collaborating with technical colleagues and business stakeholders, communicating clearly, and working independently.

A practical approach to reviewing AI-generated code, investigating failures, and balancing innovation with security and reliability.

Curiosity about emerging technologies and their potential to improve internal tools and decision-making., Bachelor’s degree in Computer Science or Information Systems, and/or a master’s degree in Artificial Intelligence, Data Science, Data Analytics, or a related field.

4+ years building production frontend and backend applications using modern JavaScript, React, and Node.js.

Hands-on AI-agent development, tool/function calling, and results evaluation, with Microsoft Foundry (Azure AI Foundry) and Azure OpenAI or similar LLM platforms.

Data Engineering knowledge covering SQL, Python, Data Modeling, and data pipelines, plus predictive model deployment experience.

Experience with Microsoft Azure, Microsoft Fabric, authentication and authorization using Microsoft Entra ID / OAuth 2.0, and row-level security.

Experience with Git, pull requests, automated testing, CI/CD, and daily AI-assisted development.

Preferred Qualifications

Experience using Azure DevOps for software delivery.

Interest in connecting AI capabilities with maintainable, user-friendly business applications.

Thinking Minds’ client offers opportunities for professional growth, collaboration with experienced leaders, and meaningful contributions to business-facing technology.