Spiral Scout
We pair the world’s top software engineers with ambitious brands to scout and solve problems through innovation.
AI Solutions Engineer
Location
United States
Posted
5 days ago
Salary
Not specified
Seniority
Senior
Job Description
• Architect AI Systems: Design and build end-to-end AI agents and workflows tailored to specific client needs.
• Solution Implementation: Utilize the Wippy platform and modern LLM frameworks to implement and scale AI-driven automation.
• Backend Integration: Develop and maintain the backend logic, APIs, and data flows required to support AI architectures.
• Rapid Prototyping: Transition from concept to a functional prototype within hours to validate technical approaches and logic.
• Requirement Translation: Interpret ambiguous client needs and translate them into reliable, working AI-powered solutions.
• End-to-End Ownership: Take full accountability for tasks from the initial ideation phase through to deployment and client-side integration.
Job Requirements
- AI Orchestration: Hands-on experience building AI agents and LLM-based workflows in production environments.
- Backend Engineering: Strong command of backend engineering, including asynchronous processing, integrations, and data flow design.
- Prototyping Proficiency: Demonstrated ability to rapidly build and test solutions under tight deadlines.
- Modern Tooling: Practical experience with AI-assisted development tools (e.g., Cursor, Claude, or GitHub Copilot).
- Infrastructure: Ability to work with cloud environments and manage the deployment of solutions independently.
- Language: Professional English proficiency (B2+ or C1 level).
- Experience Level: Senior-level expertise is preferred.
Benefits
- Work-life balance - Enjoy a paid day off every other Friday to recharge.
- Culture of trust - Work fully remotely in an environment that values transparency, autonomy, and collaboration.
- Seamless onboarding - Benefit from a structured 90-day onboarding program with full guidance and support.
- High-Ownership Environment - Operate in a setting with low bureaucracy and a consistent focus on technical results.
- Real-world Impact - Solve complex problems for a diverse range of global clients through practical AI implementation.
- AI-driven engineering - Collaborate with a team that is actively evolving its engineering practices to lead in the AI space.
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