How OnHires Helped Rogo Strengthen Its Engineering Team for AI in Investment Banking

Financial technology companies building AI products for investment banking need strong engineering talent to support performance, reliability, and product scalability.

As Rogo continued developing its platform for demanding financial workflows, it needed to strengthen its engineering team with a Senior Software Engineer who could contribute to product quality, technical execution, and long-term platform growth. Because the product sits in a highly specialized environment where data accuracy, workflow speed, and system reliability matter, the company needed a structured hiring process that could identify the right candidate quickly while maintaining a high technical bar.

Hiring for senior engineering roles in fintech and AI requires more than strong coding skills. Companies need candidates who can contribute to complex product development, work within data-intensive systems, and operate effectively in a fast-moving environment shaped by demanding user expectations.

Rogo needed to hire a Senior Software Engineer who could support the development of an AI platform used by investment banking professionals. This required a candidate with strong software engineering fundamentals, product-minded thinking, and the ability to work on systems where speed, reliability, and usability directly affect business value.

Because senior engineers with relevant fintech, AI, or high-performance SaaS experience are in high demand, the company needed a recruitment process that could move efficiently while maintaining a clear and structured technical evaluation framework.

OnHires implemented a recruitment strategy tailored to Rogo’s AI-driven financial technology environment and engineering hiring needs.

We began with role calibration sessions to define the responsibilities, technical expectations, and success criteria for the Senior Software Engineer position. The focus was on software architecture, engineering execution, product contribution, and the ability to work effectively in a platform environment serving demanding financial users.

We then launched a targeted sourcing pipeline across senior software engineering, fintech, AI, and SaaS 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 Rogo 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 a Senior Software Engineer who could contribute directly to platform development, technical quality, and product scalability. This reduced hiring friction, improved confidence in candidate selection, and supported stronger engineering execution in a complex fintech environment.

The result was a more efficient hiring workflow and a stronger technical foundation for continued growth of the company’s AI platform for investment banking.

Roles successfully filled:

This case demonstrates how structured recruitment can help fintech and AI companies hire senior technical talent more effectively.

By aligning hiring with technical complexity, product requirements, and market realities, Rogo was able to strengthen its team with the right engineering expertise and improve hiring efficiency for a critical software role.