Scaling a Generative AI engineering team across financial services, healthcare, and retail delivery commitments.
A rapidly growing enterprise software company engaged CoreTalentsHub following the award of several Generative AI projects across financial services, healthcare, and retail sectors.
The business required immediate expansion of its AI engineering capability to support customer delivery commitments and future product development initiatives, spanning LLM Engineers, Machine Learning Engineers, AI Architects, RAG Developers, Data Engineers, and AI Product Specialists.
Demand for experienced AI professionals significantly exceeded supply. While applications were plentiful, very few candidates possessed practical experience deploying production-grade AI solutions within enterprise environments.
The client needed a recruitment partner capable of identifying candidates with both technical expertise and the ability to operate within demanding, customer-facing delivery environments.
CoreTalentsHub developed a dedicated AI Technical Search strategy focused on identifying professionals with proven experience across Large Language Models, Retrieval-Augmented Generation (RAG), Machine Learning Operations, Prompt Engineering, and Enterprise AI Deployment.
Our consultants mapped AI-focused product companies, specialist engineering teams, technology startups, and organisations actively investing in Generative AI initiatives. Candidates progressed through detailed qualification discussions covering technical capability, project exposure, compensation expectations, career objectives, and long-term suitability, with regular review meetings held alongside engineering leadership and HR stakeholders throughout the assignment.
The successful hires enabled the client to accelerate delivery across multiple AI initiatives while maintaining customer commitments and product development timelines.
During the project, 13 candidates withdrew after accepting competing opportunities, 7 failed compensation alignment discussions, and 4 shortlisted candidates became unavailable due to project commitments — underscoring how competitive the AI talent market remained throughout the search.