- Design and manage agent-based development workflows
- Oversee AI-generated code: validate, test, refactor, and productionize
- Build systems to evaluate agent output quality and reliability
- Fine-tune prompts, tools, and pipelines to improve outcomes
- Integrate AI agents into the software development lifecycle (SDLC)
- Translate business problems (mortgage, real estate workflows) into AI-driven solutions
- Establish best practices for multi-agent collaboration and orchestration
- Monitor performance, cost, and accuracy of AI systems
- Work across product and business teams to identify automation opportunities
GCPPrompt EngineeringLLM