Senior AI Solutions Engineer
Skyfire · Hybrid: 3 days in the office in San Francisco, CA, USA or Toronto, ON, CAN ·
- Work mode
- Hybrid
- Seniority
- Senior
- Category
- Solutions engineering
You will create AI-agent demos, videos, prototypes, and reference implementations using Skyfire and KYAPay. You will research emerging protocols, support customers and partners with integrations, test the platform and maintained examples, and maintain documentation. You will also share best practices through presentations, articles, tutorials, and videos, represent the products at events, and relay user feedback to product management and engineering.
Responsibilities
- Design and implement demos, videos, and reference implementations of AI agents and services.
- Review standards and RFCs, research emerging AI protocols and technologies, and create interoperability prototypes.
- Onboard and support customers using Skyfire and KYAPay.
- Support web security vendor partners integrating KYAPay tokens into their workflows.
- Design and execute manual and automated end-to-end test plans.
- Create and maintain documentation, recipes, demos, reference implementations, and prototypes.
- Represent Skyfire and KYAPay at events, meetups, hackathons, and online forums.
- Educate audiences about agentic commerce, the platform, and the KYAPay protocol through presentations, articles, tutorials, and videos.
- Collect and relay user and community feedback to product management and engineering.
Requirements
- Rapidly prototype and iterate AI-driven features that translate business requirements into deployable product solutions.
- Write understandable, well-documented TypeScript and Python code.
- Build running applications and reference implementations.
- Apply analytical troubleshooting and debugging to AI prototypes under time constraints.
- Build engaging, easy-to-understand demos, videos, and written descriptions.
- Experiment with and learn emerging technologies including MCP, A2A, verifiable credentials, and decentralized identifiers.
- Explain complex topics clearly to technical and non-technical audiences verbally and in writing.
- Build relationships with the community.
- Demonstrate passion for AI and agentic commerce.