We are seeking an AI Application Developer to help build and deploy practical AI solutions that improve productivity across operations, project management, and business workflows. This is a hands‑on role focused on implementing AI tools, automation, and integrations — not research.

You will work with internal stakeholders to develop AI‑powered assistants, automate manual processes, and integrate AI into existing business systems.

This is an excellent chance for someone early in their career who wants to gain real‑world experience building and deploying AI solutions.

Key Responsibilities AI Solution Development

Design, build, and deploy AI/ML models to support business operations

Develop automation using LLMs, machine learning, and AI workflows

Build AI agents for internal productivity and decision support

Implement document intelligence and data extraction solutions

Develop predictive analytics models where applicable

System Integration

Integrate AI solutions with field operations systems

Build APIs and automation pipelines

Connect AI solutions to internal databases

Prepare datasets for training and inference

Clean and normalize structured and unstructured data

Build data pipelines for AI workloads

AI Governance & Security

Follow the company AI governance and security standards





Ensure data privacy and compliance requirements are met

Monitor AI outputs for accuracy and reliability

Implement human‑in‑the‑loop controls where required

Work with department leaders to identify AI opportunities

Translate business problems into technical AI solutions

Provide demonstrations and prototypes

Support change management and adoption

Monitor performance of deployed AI models

Improve prompts, workflows, and models

Qualifications Education

Bachelor's degree in Computer Science, AI, Engineering, or related field

Equivalent practical AI experience considered

Required Experience

2–5 years experience in AI / Machine Learning / Automation

Experience with APIs and system integrations

Experience working with business stakeholders.

Technical Skills AI / ML

AI agents / workflow automation

Model evaluation and tuning

AI Tools / Platforms

HuggingFace (nice to have)

Azure Functions / Logic Apps

Docker (nice to have)

Data

Structured and unstructured data handling

Success Metrics

AI solutions deployed to production

Business hours saved through automation

Accuracy of AI outputs

ROI of AI initiatives

#J-18808-Ljbffr

📌 Application Developer AI (Vaughan)
🏢 National Consultants Professionals
📍 Vaughan