[Hiring] AI Solutions Engineer @Spiral Scout

Role Description

We are seeking an AI Solutions Engineer to design and implement AI-powered solutions and intelligent workflows that solve complex client challenges. In this role, you will be responsible for the entire lifecycle of AI-driven systems - from interpreting ambiguous requirements to deploying production-ready solutions. You will leverage our proprietary AI platform, Wippy , as a core component of your toolkit to accelerate delivery. We value engineers who prioritize functional execution and rapid iteration over prolonged theoretical planning.

What You Will Do

• 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.

Qualifications

• 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.

Requirements

• Self-Directed Execution: You are capable of driving a problem to a solution independently, without the need for step-by-step guidance.
• Technical Accountability: You understand the direct impact of your work on client delivery and project timelines.
• Experimental Approach: You actively explore and experiment with new technologies on your own initiative.
• Resilience under Ambiguity: You remain effective and focused even when project requirements are not fully defined.
• Bias for Action: You prefer the process of building, testing, and iterating over prolonged theoretical planning.

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.

How to Apply

To be considered for this position, please submit the following along with your CV:

• Professional Portfolio: A link to your GitHub or a portfolio of work.
• Project Examples: Descriptions of AI projects you have built, such as agents, workflows, or automation systems.
• Technical Summary: A short explanation of the architecture and tools used in your AI projects.

Please note that applications without demonstrated experience in real-world AI projects will not be considered.

Location

Remote

Employment Type

Contractor