Bachelor's degree in Computer Science, Engineering, or analytical fields (Mathematics, Data Science, etc.), or equivalent experience, with at least 5 years deploying and supporting full-stack applications in enterprise environments , and several years of experience integrating AI, MLOps into full-stack applications.
Experienced in designing and shipping production Generative AI-based applications with agentic architectures, with strong skills in prompt engineering, orchestration frameworks (e.g., LangChain, LangGraph, or similar), tool/function calling, structured outputs, model selection, and LLM evaluation.
Experienced in full-stack development(backend, frontend, and database technologies) with expertise in technologies such as Vue and TKG , and strong skills in Python , TypeScript , git, SQL, CI/CD pipelines, automated testing , and DevOps best practices.
Experienced in AWS services , particularly Bedrock, SageMaker, S3 , Lambda , and infrastructure as code (CDK). Extensive experience applying software engineering design patterns andenterprise application architecture principles to build secure, scalable, maintainable, and cost-optimized cloud-native applications.
Experienced in data science , machine learning techniques , and data engineering. Skilled at addressing fairness in AI development and applying experimentation and A/B testing methodologies to empirically evaluate and improve model performance.