Collaborate with specialist and operation teams to improve security systems, automated tools, and threat detection capabilities, enhancing operational efficiency and automation.
Act as a full stack "seed" within your team — champion full stack practices, mentor peers, and help scale AI-augmented development across the organization
Integrate LLM/AI capabilities into real product scenarios, such as intelligent assistants, RAG workflows, AI agents, automation tools, classification, summarization, and issue analysis.
Deeply understand business needs and continuously track algorithm performance; validate and optimize models through A/B testing, causal inference, and attribution analysis, ensuring ongoing iteration and business impact.
Integrate AI capabilities into the software development lifecycle, from requirements and development to testing and deployment, to improve engineering productivity.
Integrate AI capabilities into the software development lifecycle, from requirements and development to testing and deployment, to improve engineering productivity.