- Translate ambiguous product or business requirements into clear technical specifications, system designs, and validation plans.
- Build, maintain, and scale AI-powered production systems and agentic applications.
- Design workflows where LLMs, VLMs, tools, APIs, retrieval systems, and traditional microservices work together reliably.
- Use AI-assisted development tools while maintaining code quality, security, performance, and long-term maintainability.
- Build observability, evaluation, testing, and monitoring systems for AI-generated outputs.
- Optimize prompts, model selection, workflows, and inference cost.
- Apply Responsible AI principles including safety, privacy, fairness, transparency, and accountability.
- Work with cross-functional teams across product, engineering, security, data, and design.
- Mentor engineers to move from implementation-heavy development to system orchestration and AI-first engineering practices.
Software EngineeringPrompt Engineering