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 robust 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 (Kirkland)
🏢 Future Electronics
📍 Kirkland