How OnHires Helped Shuttle Add AI Talent to Its Developer Platform Team

Developer infrastructure companies need strong engineering talent to keep their platforms competitive, flexible, and aligned with evolving user needs.

As Shuttle continued growing its cloud platform for backend developers, it needed to strengthen its engineering team with an AI Engineer who could contribute to product innovation and support the next stage of platform evolution. Because the company operates at the intersection of cloud tooling, backend development, and developer experience, it needed a structured hiring process that could identify the right candidate quickly while maintaining a high technical bar.

Hiring for AI roles in developer tooling requires more than general machine learning knowledge. Companies need candidates who can work in technically sophisticated environments, understand product constraints, and contribute to tools used by developers who expect speed, reliability, and clean workflows.

Shuttle needed to hire an AI Engineer who could support product innovation in a platform built for backend developers. This required a candidate with strong technical depth, adaptability, and the ability to work effectively in a cloud and developer-focused environment.

Because experienced AI engineers with relevant product and infrastructure understanding are in high demand, the company needed a recruitment process that could move efficiently while keeping technical evaluation structured and role-specific.

OnHires implemented a recruitment strategy tailored to Shuttle’s cloud platform environment and AI hiring needs.

We began with role calibration sessions to define the responsibilities, technical expectations, and success criteria for the AI Engineer position. The focus was on technical depth, practical engineering ability, problem-solving, and the capacity to contribute effectively in a product environment centered on backend developers and deployment simplicity.

We then launched a targeted sourcing pipeline across AI engineering, software engineering, and developer tools talent pools. Structured interview workflows and calibrated scorecards helped standardize candidate evaluation, while weekly hiring operations improved stakeholder alignment, accelerated feedback, and reduced delays throughout the process.

OnHires managed the recruitment process end to end, from sourcing and screening to offer coordination and onboarding support.

The structured recruitment process helped Shuttle strengthen its engineering capabilities while maintaining speed and candidate quality.

By aligning recruitment with the specific needs of the role, the company was able to hire an AI Engineer who could contribute directly to product innovation and technical execution. This reduced hiring friction, improved confidence in candidate selection, and supported stronger engineering momentum in a highly competitive talent market.

The result was a more efficient hiring workflow and a stronger technical foundation for continued growth of the company’s open source cloud platform.

Roles successfully filled:

This case demonstrates how structured recruitment can help cloud platform and developer tooling companies hire specialized engineering talent more effectively.

By aligning hiring with technical complexity, product direction, and developer-focused business goals, Shuttle was able to strengthen its team with the right AI expertise and improve hiring efficiency for a critical role.