AI application developer – machine learning Full Time

Salary: $90,000 – 110,000 per year

Requirements:

• A minimum of five years of experience in a full-stack or broadly scoped development role
• At least five years of hands-on experience with relevant programming languages (e.g., Python, TypeScript, JavaScript, Java, C#)
• Proven experience in designing programs, system diagrams, and technical documentation for complex business or technical challenges
• Demonstrated ability to write production-quality code, build automated test suites, and manage defect resolution
• Familiarity with, and practical application of, AI/ML principles and experience integrating AI models or LLM APIs into applications
• Exposure to generative AI concepts like prompt engineering, RAG pipelines, and orchestration frameworks such as LangChain or LlamaIndex
• Understanding of AI governance principles, including responsible use, output validation, and data privacy
• Active use of AI-powered development tools such as Claude Code, Cursor, or GitHub Copilot in everyday development tasks

Responsibilities:

• Utilize AI-powered development tools (e.g., Claude Code, Cursor, GitHub Copilot) as a fundamental part of the development workflow, from prototypes to production-ready code
• Integrate large language models (e.g., Azure OpenAI, GPT-4/5, Anthropic) into enterprise applications utilizing approved connectors
• Apply LLM patterns like prompt templates, tool/function calling, and basic agent reasoning in accordance with application design requirements
• Assist in implementing Retrieval-Augmented Generation (RAG) pipelines in collaboration with the Application Architect
• Employ responsible AI techniques including output validation, hallucination mitigation, audit logging, and human-in-the-loop controls
• Ensure compliance with the Directive on Automated Decision-Making and Algorithmic Impact Assessment requirements
• Design and create application services for AI agent configuration, versioning, lifecycle management, and prompt history
• Develop document processing, ingestion logic, and activation workflows
• Set up asynchronous processing pipelines for document ingestion and automated testing
• Create structured, traceable API responses to meet audit and compliance needs
• Construct and enhance user interfaces for AI applications using Angular 21.x
• Maintain compliance with WCAG accessibility standards in all frontend implementations
• Implement role-based access control and security measures at the presentation layer
• Design and implement relational and vector database schemas to support AI agent functionalities and RAG pipelines
• Deploy and manage containerized applications using Docker and Kubernetes/Azure Kubernetes Service
• Configure Azure cloud services, including Azure OpenAI Service and Azure DevOps pipelines, ensuring adherence to local data residency requirements
• Support CI/CD pipeline configurations for automated build, testing, and deployment workflows
• Enforce role-based access control and data protection measures for sensitive information
• Maintain application logging and audit capabilities for compliance requirements
• Collaborate with the Application Architect to ensure alignment with approved design decisions
• Engage in peer reviews, contribute to shared component ownership, and facilitate knowledge transfer within the team
• Uphold code quality and follow agreed development standards
• Provide bi-weekly progress updates and participate in sprint activities

Technologies:

• AI
• API
• Angular
• Architect
• Azure
• Backend
• C#
• CI/CD
• Claude Code
• Cloud
• Copilot
• Cursor
• DevOps
• Docker
• Frontend
• GitHub
• Support
• Java
• JavaScript
• Kubernetes
• LLM
• Python
• Security
• TypeScript
• Oracle
• PostgreSQL
• REST

More:

We are looking for two AI Application Developers to enhance our delivery team, dedicated to assisting our clients in developing AI-enabled software applications. This is a hands-on position focused on the complete implementation of secure, production-grade applications, encompassing backend services, frontend interfaces, database integration, and cloud infrastructure. Our ideal candidates are experienced software developers who are comfortable using AI-assisted development tools and are eager to further their expertise in LLM integration. We offer a hybrid remote work environment in Charlottetown, PE, along with benefits including dental care, disability insurance, extended health care, life insurance, paid time off, an RRSP match, and vision care.

last updated 15 week of 2026