Generative AI Solutions Engineers use Claude, LLMs, and Retrieval-Augmented Generation to create enterprise solutions at Future Electronics. The work model is hybrid.

As a Frontier AI Deployed Engineer, you combine AI-first development with solid software-engineering judgment. You research unfamiliar technologies, translate business challenges into prototypes, and develop applications, intelligent agents, and decision-support tools. Your work connects AI capabilities with enterprise systems while validating accuracy, security, maintainability, performance, and cost.

Key Responsibilities

Apply Generative AI and LLM technologies to business challenges

Design agentic workflows with human oversight

Use AI-assisted development for coding and testing

Evaluate models, platforms, quality,



security, latency, and cost

Share reusable components, experiments, and engineering practices

Requirements

Minimum five years’ experience in related technical fields

Hands-on Generative AI, agents, copilots, or LLM experience

Claude experience across research, design, development, or documentation

Ability to validate AI-generated designs, code, and recommendations

Strong analytical, communication, and problem-solving skills

Use LLMs, agentic workflows, Claude, and engineering discipline to deliver practical enterprise AI solutions.

📌 Generative AI Solutions Engineer (Winnipeg)
🏢 Future Electronics
📍 Winnipeg