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 strong 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
Solid analytical, communication, and problem-solving skills
Use LLMs, agentic workflows, Claude, and engineering discipline to deliver practical enterprise AI solutions.

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📌 Generative AI Solutions Engineer (Quebec City)
🏢 Future Electronics
📍 Quebec City