- Lead and grow the engineering team — hire, mentor, and develop engineers across product, platform, and infrastructure disciplines
- Build a culture of ownership, craft, and continuous improvement, where engineers deeply understand and empathize with customers
- Champion AI-native engineering practices
- Define and own the AI engineering roadmap, aligning technical direction with company and product strategy
- Oversee architecture and implementation of LLM-driven systems, including retrieval-augmented generation (RAG), chat agents, and semantic search pipelines
- Champion best practices for model evaluation, and AI feature integration
- Evaluate, integrate, and optimize LLMs (e.g., GPT, Claude, Llama, Mistral) for production use cases
- Collaborate with engineering leadership to ensure scalability, performance, and reliability across CoreStory’s Platform
- Foster a strong culture of experimentation, learning, and innovation across the engineering team
- Stay ahead of emerging trends in LLMs, RAG architectures, and AI frameworks — translating research into product-ready capabilities
- Own delivery velocity and execution — establish engineering processes, sprint cadences, and delivery practices
- Driving ownership of customer-facing engineering issues end-to-end
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