HopHR

AI Engineer

• Collaborate with cross-functional teams (e.g., Brand Management, Ads Management) to define and prioritize AI application opportunities.
• Prototype and refine LLM-powered workflows through prompt engineering and API integration.
• Develop and maintain production-ready backend services that integrate business data with LLM APIs.
• Build and manage API endpoints for automation and summarization use cases.
• Implement data preparation pipelines to structure inputs and process model outputs.
• Ensure deployed AI solutions are reliable, cost-efficient, and scalable.
• Write clean, well-documented, and maintainable code.
• Integrate error handling, monitoring, and logging for AI workflows in production.
• Continuously optimize prompt design, latency, and model configurations for performance.
• Stay up to date on the latest trends in LLM frameworks, prompt strategies, and AI applications.

AI Developer