How OnHires helped Epicbrief hire AI engineering talent for client relationship automation

AI software companies need engineers who can turn language models and automation capabilities into reliable product experiences that deliver measurable value for users.

As Epicbrief continued developing its client relationship platform, it needed to strengthen its technical team with a Senior AI Engineer. The company required a specialist capable of improving the AI systems behind meeting analysis, content generation, workflow automation, and CRM updates.

Because the role directly influenced product accuracy, user trust, and the overall effectiveness of the platform, Epicbrief needed a structured recruitment process that could identify the right technical profile quickly without compromising engineering quality.

Hiring senior AI engineers requires a combination of machine learning expertise, strong software engineering skills, and practical experience integrating AI models into production products.

Epicbrief needed a Senior AI Engineer who could work with conversational data, natural language processing, and generative AI workflows. The candidate had to understand how to build systems that could accurately extract key information from meetings, create useful follow-up content, and transfer structured data into external CRM platforms.

The company also needed someone capable of balancing model quality with performance, reliability, privacy, and cost. In a competitive AI talent market, Epicbrief required a focused search strategy that could distinguish candidates with genuine production experience from those whose expertise was limited to experimentation or research.

OnHires developed a targeted recruitment strategy aligned with Epicbrief’s product roadmap, AI architecture, and client relationship automation use cases.

We began with detailed role calibration to define the technical competencies and level of ownership required for the Senior AI Engineer position. The scorecard covered large language model integration, natural language processing, prompt and retrieval workflows, model evaluation, production deployment, data privacy, and collaboration with product and engineering teams.

Our team then mapped relevant talent pools across AI-native software companies, sales technology platforms, productivity tools, machine learning startups, and engineers working with conversational AI. Structured screening helped identify candidates who had successfully integrated AI capabilities into production software rather than only building isolated prototypes.

OnHires managed the recruitment process end to end, including sourcing, candidate qualification, technical interview coordination, weekly hiring operations, offer management, and onboarding support.

The structured recruitment program helped Epicbrief secure specialized AI engineering talent while maintaining a high standard for product and technical fit.

Clear upfront calibration improved the relevance of candidates entering the interview process and reduced time spent evaluating profiles without sufficient production AI experience. Weekly feedback cycles also supported faster decisions and helped keep qualified candidates engaged throughout the process.

Epicbrief successfully hired a Senior AI Engineer capable of improving meeting intelligence, automated communication, and CRM workflow functionality across its platform.

Roles successfully filled:

This case demonstrates how specialized recruitment can help AI software companies hire engineers capable of turning advanced models into practical and reliable product functionality.

By aligning sourcing and evaluation with Epicbrief’s automation use cases, technical requirements, and product goals, OnHires helped the company hire a senior engineer capable of strengthening the AI foundation of its client relationship platform.