AI Application Developer

Job DescriptionAI Application Developer(# Job Number: 26001657)## Primary Location:ON-Mississauga Information Technology Employee Type:Full-Time Pay Rate From:$100,160 Pay Rate To:$125,200## Description:Bayshore HealthCare is one of the Canada’s leading providers of home and community health care services and is a privately owned company. Bayshore HealthCare is proud to showcase its achievement as a Platinum member of Canada’s Best Managed Companies Program every year since 2006.

Bayshore Healthcare is also recognized as Canada’s Best Employers in Forbes 2023 list. **Job Summary**AI Application Developer role will build intelligent business solutions using modern AI

platforms and lightweight custom development. This role focuses on designing and delivering AI-driven applications, copilots, and workflow automations using Google Gemini Studio, Python-based AI services, and React front-end components, with selective use of low-code platforms to accelerate integration and automation.**You’ll create AI-enabled experiences that integrate enterprise data, automate decision-making, and embed generative AI into real business workflows balancing custom development with low-code orchestration where appropriate.**

**Key Responsibilities****AI-Centric Application Development:****• Design and deliver AI-powered applications using:**

o Google Gemini Studio (text, multimodal, and generative AI use cases)

o Python for AI services, orchestration, data processing, and model integration

o React for user interfaces, dashboards, and embedded AI experiences

o

Build secure, reusable AI services (APIs) that support:

o Conversational AI and copilots

o Document intelligence and summarization

o Knowledge retrieval and decision support

o Intelligent automation and recommendations

o Integrate Gemini, Azure OpenAI, and other enterprise AI endpoints into production

solutions**AI Studio & Model Lifecycle**

o Design, configure, and evaluate AI solutions using:

o Gemini Studio

o Microsoft AI Studio (Azure OpenAI, Copilot Studio) where required

o Apply prompt engineering, prompt chaining, and model optimization techniques.

o Support AI model lifecycle activities, including testing, versioning, monitoring, and

continuous improvement.

o Implement Responsible AI practices (fairness, explain ability, transparency, and

safety).

**Workflow Automation & Low-Code Enablement**

o Use low-code platforms (e.g., Power Automate, Dataverse, Copilot Studio) to:

o Orchestrate workflows triggered by AI outputs

o Integrate AI services with enterprise systems

o Enable business users to interact with AI-powered solutions

o Ensure low-code tools complement—not replace—custom AI application

development.

**Integration & Data**

o Integrate applications with:

o Microsoft 365, Teams, SharePoint

o SQL and cloud-based data platforms

o REST APIs and third-party AI services

o Design secure data flows for structured and unstructured data used in AI workloads.

o Implement authentication, authorization, and data protection best practices.

Governance, Security & Responsible AI

o Contribute to AI governance standards, including:

o Data privacy and compliance

o Model usage guidelines and auditability

o Bias mitigation and transparency

o Apply environment strategies, security controls, and lifecycle management for AI enabled solutions.

o Ensure compliance with organizational and regulatory standards.Work Location : Bayshore Healthcare, National Office, Mississauga ONHybrid – At least 2 days onsite weekly

## Qualifications:**Qualification****•**3–5+ years of experience building applications or services using modern

development platforms.

**•** Hands-on experience delivering AI-powered applications using LLMs or generative

AI.

**• Strong working knowledge of:**

o Python for backend services, AI orchestration, or data processing

o React (or similar frameworks) for front-end development

• Experience with AI Studio platforms (Gemini Studio, Azure OpenAI, or equivalent).

• Solid understanding of prompt engineering, AI model behavior, and ethical AI

considerations.

• Strong business analysis and stakeholder communication skills.

**Technical**

• Experience with Google Gemini Studio and Gemini APIs.

• Experience with Azure Open AI Service or Copilot Studio in enterprise

environments.

• Experience with Power platform and Azure services.

• Familiarity with:

•

API-first and microservice architectures

•

AI orchestration patterns (RAG, agent-based workflows)

•

CI/CD and environment management for AI solutions #J-18808-Ljbffr