AI Solutions Engineer

WellnessLiving • Vaughan, ON

5d • CA$70,000 - CA$90,000 • Hybrid

About The Position

WellnessLiving is seeking a Forward-Deployed AI Engineer, also described as an AI-Native Product & Automation Builder. This role is not a traditional software engineering position but requires adaptable, AI-native operators who can quickly deploy production-grade workflows, automate business operations, implement customer-facing AI solutions, and speed up product delivery using modern AI tools. The engineer will collaborate across departments, including engineering, operations, product, and customer workflows, to identify inefficiencies and implement practical AI systems that yield measurable business results. The company culture is built on four core values: Customer First, Excellence, Accountability, and Adaptability, and they seek individuals who thrive in fast-paced environments and aim to make a significant impact in the wellness industry.

Requirements

• 2–3 years of experience in software development, automation, technical operations, or AI-enabled product work.
• Basic-to-intermediate coding ability (Python, JavaScript, SQL, or similar).
• Familiarity with AI development tools and modern LLM ecosystems.
• Experience with APIs, databases, and cloud infrastructure.
• Hands-on exposure to tools/platforms such as Claude, Codex, MCP, AWS, and AI copilots.
• Strong builder mentality and ability to move quickly with ambiguity.
• Excellent communication and cross-functional collaboration skills.
• High ownership, curiosity, and enthusiasm for AI.

Nice To Haves

• Experience building automations or agentic workflows.
• Experience deploying customer-facing AI solutions.
• Startup or high-growth environment experience.
• Familiarity with vector databases, RAG systems, or orchestration frameworks.
• Experience working with operational teams or customers directly.

Responsibilities

• Build and deploy AI-powered workflows, copilots, automations, and agentic systems.
• Rapidly prototype and ship internal and customer-facing AI solutions.
• Work directly with stakeholders to understand operational bottlenecks and automate workflows.
• Use modern AI tooling to accelerate development velocity and feature delivery.
• Configure and orchestrate LLM-driven systems using APIs, agents, MCPs, databases, and automation frameworks.
• Reduce operational load by replacing repetitive manual processes with AI-native systems.
• Collaborate cross-functionally with product, operations, customer success, and engineering teams.
• Operate with high autonomy and ownership in fast-moving environments.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed