Business Overview
The following engineering businesses are led by Data & AI VP Ohno/Kevin:
[Details of work]
· Build data foundation and establish data management mechanism
Secure AI Infrastructure Design and Application
Installation of sandbox environment and governance functions under high safety standards
AI evaluation basis, Gateway function design, construction
LLM orchestration and MCP implementation
Provide internal SaaS DB documentation to LLM via MCP
· Integration of internal company tools with AI intelligence, construction of workflow design and evaluation platform for business specialized AI intelligence
[Data Engineering]
Experience in the development and operation of data pipelines (ETL) using Python/Go/Java, etc.
Experience with DWH such as BigQuery/Snowflake/Databricks
[llm]
Experience developing LLM applications using APIs such as OpenAI/Anthropic
Experience in implementing and improving rag using frameworks such as LangChain/LlamaIndex
[Software Engineering]
Microservices/API (rest, gRPC) design and development experience
preferred experiences
Have in-depth knowledge of MCP (Model Context Protocol), or have their own MCP server implementation experience.
Experience with LLM proxy servers such as LiteLLM
ArrowsExperience in the selection and use of quantitative databases (Pinecone, Weaviate, pgvector, etc.)
Build a quantitative evaluation process of LLM output using Ragas and LangSmith
Build cloud infrastructure with Infrastructure as Code (Terraform, etc.)
· Communicates with a wide range of stakeholders and has experience advancing initiatives
We are looking for
· Ability to develop customer-oriented
Frequently think about what the customer wants, and thereby reverse the prioritization of development.
· Ownership of product growth
Treat product growth as your own business and be passionate about delivering value to your customers through your products.
As long as it is for the growth of the product, you can actively contribute to things other than your own responsibility.
· Leads others to move things forward
When solving a problem, not solving it alone, but advancing with the members around you.
Is able to prioritize team outcomes over own outcomes.
Curious and eager to learn
Learning in the field of engineering is self-evident, and you can greedily enter all kinds of knowledge required for product improvement.
What you learn doesn't end there, it can be applied to your business.
· Ability to be vulgar and detail-oriented
For clean data and valuable analysis, every corner of the data can be carried out meticulously and meticulously.
working conditions