AI Software Developer

Job Summary:

The Software Developer will design, develop, test, and support AI-enabled applications and workflows, focusing on integrating Large Language Models (LLMs), AI agents, and human-in-the-loop review processes. This role supports the Curriculum AI Assistant Platform, combining AI capabilities with expert-driven decision-making to accelerate curriculum development. The position requires full stack development expertise, secure application design, and collaboration within Agile teams. Responsibilities:

• Design, develop, test, and maintain AI-powered applications and workflows.
• Develop and integrate AI agents into a secure web-based platform.
• Design and implement data pipelines including extraction, transformation, and loading.
• Develop APIs and application services supporting AI, document processing, and workflow automation.
• Implement human-in-the-loop workflows for user review, validation, and approval of AI-generated content.
• Translate technical specifications into tested, working applications and detailed programming specifications.
• Resolve technical issues and provide support during implementation, testing, deployment, and maintenance.
• Prepare technical documentation and support knowledge transfer activities.
• Participate in Agile ceremonies and collaborate with cross-functional teams including business analysts, UX designers, architects, QA, and product owners.
• Support MVP delivery, iterative product enhancement, and continuous improvement activities.
• Ensure application security, privacy compliance, and quality assurance through testing, code reviews, and secure design principles.
• Support production deployments, issue resolution, and ongoing maintenance.
• Facilitate technical discussions, design walkthroughs, and solution reviews.
• Communicate technical concepts, risks, and recommendations to both technical and non-technical audiences.

Required Skills & Certifications:

• Experience designing and developing AI-enabled applications using Large Language Models (LLMs) and AI platforms.
• Proficiency in full stack development including front-end and back-end frameworks and REST API integration.
• Strong knowledge of data pipelines, relational databases, data modeling, and SQL.
• Experience with Azure services such as Azure Functions, API Management, Logic Apps, and Azure Active Directory (Entra ID).
• Implementation of authentication and authorization controls including Single Sign-On (SSO) and Multi-Factor Authentication (MFA).
• Experience implementing human-in-the-loop workflows and multi-step AI agent workflows.
• Strong understanding of secure application design, role-based access control, audit logging, and privacy compliance.
• Proficiency in Agile development practices and tools such as Azure DevOps or Jira.
• Experience with CI/CD pipelines, automated deployment, and DevOps practices.
• Strong debugging, testing (unit, integration, user acceptance), and software quality assurance skills.
• Excellent communication, collaboration, and facilitation skills.

Preferred Skills & Certifications:

• Experience with Angular, JavaScript, HTML, CSS, and modern web development practices.
• Knowledge of Retrieval-Augmented Generation (RAG), knowledge retrieval, and document processing solutions.
• Experience designing accessible applications compliant with AODA and WCAG standards.
• Experience conducting technical discovery, proof-of-concept development, and validation activities.
• Familiarity with solution architecture and enterprise web application design.

Special Considerations:

• Must be available for 5 days onsite as required.
• Work involves handling sensitive information requiring strict security and privacy controls.
• Role requires managing competing priorities and meeting project deadlines.

Scheduling:

• Standard work schedule with Agile sprint cycles; specific shift details not provided.