Japan Core- GenAI Engineer SA1- Shanghai

Generative AI Engineer

Role Overview

• Design and deliver generative AI applications from the ground up including context-augmented paradigms such as RAG/CAG and intelligent agent orchestration.

• Prioritize building operable measurable and scalable production-grade systems on Azure ensuring performance compliance and cost optimization.

Key Responsibilities

• Design and implement RAG/CAG-based application architectures: data ingestion chunking and embeddings retrieval and re-ranking context injection and response generation.

• Build and orchestrate multi-agent workflows: task decomposition and tool invocation.

• Use frameworks such asLangChain/LangGraphto implement end-to-end pipelines and integrate services (APIs queues event-driven).

• Set up AI and infrastructure services on Azure (preferred) or AWS/GCP (vector search inference services model hostingmonitoringand logging).

• Establish evaluation and monitoring systems: offline/online evaluation A/B testing data drift and data quality monitoringcostand latency optimization.

• Implement prompt/tool/memory design and versioning to ensure reproducibility and maintainability.

• Drive engineering and automation: CI/CD and environment management.

• Produce technical documentation and best practices; support the evolutionfromPoC to production.

Requirements (Must-Haves)

• Bachelors degree in computer science or related field.

• 2 years of relevant work experience.

• Proficient written and spoken Japanese and strong written English; able to independently communicate with Japanese clients in Japanese.

• Strong communication documentation and interpersonal skills.

• Solid generative AI development skills; familiar with context-augmented generation paradigms such as RAG/CAG and common design patterns (chunking embedding selection vector indexing and re-ranking context length/window management cache augmentation).

• Hands-on agent development experience; understanding of task planning tool invocation memory/state andLangGraphsemantics (graph state nodes edges).

• Familiar with theLangChain/LangGraphecosystem; able to implement custom chains tools executors and callback-based monitoring.

• Familiar with Azure AI services and configurations: Azure OpenAI Azure AI Search (vector retrieval) Bing Search grounding etc.

• Strong software engineering skills: at least one primary language (Python/TypeScript) API design unit/integration testing performance tuning.

Nice-to-Haves

• Experience using AI-assisted development tools (Claude Code Agent Skills Cursor Copilot OpenAI o3) withdemonstratedimpact.

• Experience with Power Platform (Copilot Studio Power Apps etc.) preferred.

• Experience in machine learning/data analysis: feature engineering statistical analysis model selection and hyperparameter tuning A/B test design.

• Familiarity with other cloud platforms: AWS (Bedrock) GCP (Vertex AI Big Query Cloud Run).

• Strong understanding of the software development lifecycle; Agile experience preferred.

• Prior work experience in Japan or fluent spoken English is a plus.