Teams at Gradial

Lead architecture and implementation of AI-native systems that convert natural language into multi-step workflows. Build and scale an LLM agent for real-time inference, dynamic prompting, and tool orchestration. Drive full-stack technical direction, ensure scalability/reliability, integrate learning from usage, mentor engineers, and collaborate with product and design to deliver production-quality, maintainable systems.

Lead end-to-end implementations of an LLM-driven platform for enterprise customers: perform technical discovery, build integrations and reusable tools, deploy and optimize features, collaborate with product and customer stakeholders, and maintain performance, reliability, and documentation.

Lead technical discovery and full-stack implementations of Gradial's LLM-driven platform for enterprise customers. Build integrations with CMS/DAM/workflow systems, develop reusable adapters and configuration layers, and optimize performance, reliability, and customer UX. Translate complex marketing operations into scalable generative-AI solutions and collaborate closely with customers and product/engineering teams.