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Software Developer, AI Engineer (Applied​/Software), Full Stack Developer

Job in Windsor, Ontario, N8H, Canada
Listing for: Nature Fresh Farms
Full Time position
Listed on 2026-09-09
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Full Stack Developer, Backend Developer
Job Description & How to Apply Below
Grow With Us – Join the Nature Fresh Farms Team!
Imagine breaking from tradition to ensure a brighter future for generations to come. At Nature Fresh Farms®, we’re committed to nourishing people and the planet through greenhouse farming.

Since 1999, our family-owned company has pursued a simple yet profound goal: to cultivate a kinder, healthier future. Today, we’re proud to be one of North America’s largest vertically integrated leaders in greenhouse-grown produce. While we are growers, we are also greenhouse builders, plant nurturers, and collaborative partners united by shared values and vision.

Our journey is far from over. As we look to the future, we remain committed to:

Innovation and conservation

Reducing waste and promoting biodiversity

Creating a more sustainable, inclusive, and friendlier world for all

We’re Hiring!
We are currently looking to fill a full-time, permanent position for a Software Developer in our Information Technology department at our Leamington office.

What You'll Do:

Gather and analyze business requirements from internal stakeholders, third parties, and vendors, and review existing workflows and systems to identify opportunities for AI-driven and technical solutions.

Design, build, and deploy AI agents and LLM-powered automation workflows — using platforms such as Claude, ChatGPT, and Git Hub Copilot — that streamline and transform business operations across the organization.

Design, develop, test, and maintain full-stack software applications and internal business tools, using modern technologies such as .NET, JavaScript/Type Script, and Python, with an emphasis on agent frameworks.

Deploy, serve, and optimize LLM and AI inference workloads within the NVIDIA AI stack (CUDA, NIM microservices, TensorRT-LLM, Triton Inference Server) on GPU-based infrastructure, on-premises or in the cloud.

Apply AI-assisted development tools (Claude, Claude Code, ChatGPT, Git Hub Copilot) to accelerate development, code review, testing, and documentation, while maintaining code quality and security standards.

Stay current with emerging agentic AI tooling and the NVIDIA AI stack and proactively bring new practices and capabilities into the business as this transformation evolves.

Develop and maintain APIs and integration components to support reliable data flow across systems.

Work with and maintain relational databases and SQL, primarily Microsoft SQL Server.

Troubleshoot application, integration, and data-related issues, identifying root causes and implementing effective, lasting resolutions.

Partner closely with the team and other business units — communicating clearly, educating users on new tools and AI-driven processes, and supporting BI reporting needs across business units as part of this transformation journey.

Create and maintain technical documentation, and monitor existing applications, integrations, and reports to ensure ongoing reliability and performance.

Contribute across multiple projects, balancing code quality, technical standards, and delivery timelines.

Comply with all Health and Safety, Food Safety, Bio Security, and Nature Fresh Policies and Procedure

Complete all physical requirements of the job with or without a reasonable accommodation

This job description highlights the main components but is not inclusive of other activities that may be required

What You Bring:

Educational background in Computer Science, Engineering, or Information Technology preferred.

2–5 years of hands-on experience in full-stack software development and support, ideally including exposure to AI agents or LLM-integrated applications at scale.

Full-stack development experience using .NET (C#/ASP.NET Core) and/or Python, along with experience building and integrating APIs across systems.

Working knowledge of how AI agents operate — LLMs, prompting, tool/function calling, context management — plus hands-on use of AI-assisted coding tools (Claude, Claude Code, ChatGPT, Git Hub Copilot) and sound judgment reviewing, testing, and validating AI-generated code.

Experience designing or building AI agents/tools using agent frameworks (e.g., Claude Agent SDK, Lang Chain/Lang Graph, Semantic Kernel, Copilot Studio, or…
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