Obvio AI develops solar-powered AI camera systems that help municipalities identify speeding, red-light violations, and other dangerous driving behaviors in real time. Following significant funding and increasing demand from local governments, the company was focused on scaling its platform while maintaining product development velocity.
As the company expanded, hiring specialized engineering talent became a growing challenge.
The Hiring Challenge
Obvio AI needed engineers who could contribute to highly technical areas of the platform, including:
- Scalable backend infrastructure
- Real-time video processing systems
- Computer vision and AI model development
The hiring market for experienced specialists in these areas was highly competitive. Extended hiring cycles risked slowing product development and delaying roadmap execution.
Our Recruitment Approach
We partnered with Obvio AI to support their engineering hiring efforts.
After aligning with leadership on technical requirements, product objectives, and team structure, we implemented a targeted sourcing and screening process focused on candidates with demonstrated production experience in backend systems, computer vision, and AI-driven applications.
The objective was not simply to fill roles, but to identify engineers who could integrate quickly into existing workflows and contribute to active development initiatives.
Technical Talent Deployed
The engagement resulted in the placement of:
- Two Full-Stack Developers
- One Computer Vision Engineer
Each candidate was selected based on technical alignment, production experience, and ability to contribute within a fast-moving product environment.
Impact on Product Development
Following the placements, Obvio AI expanded engineering capacity across key areas of the platform.
The additional talent helped support:
- Backend infrastructure development
- Real-time video processing initiatives
- Ongoing computer vision model improvements
- Faster execution of product development priorities
By reducing hiring delays in specialized roles, the company was able to strengthen engineering throughput during a period of growth.
Key Outcomes
Through this engagement, Obvio AI was able to:
- Add engineering talent aligned with its technical stack and product requirements
- Increase development capacity across backend and AI-focused initiatives
- Support ongoing improvements to platform performance and scalability
- Reduce hiring bottlenecks affecting engineering execution
Summary
As demand for its platform continued to grow, Obvio AI required specialized engineering talent capable of contributing to complex AI and infrastructure challenges.
By helping the company secure experienced technical hires, we supported the expansion of its engineering team and enabled continued progress across critical product initiatives.