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上海天用唯勤软件技术有限公司 Tech Stack

Enterprise Java platform with emerging LLM integration capabilities

Software Development 上海市, 上海市 ~6 employees

Tienon builds backend infrastructure and data systems on Java/Spring/Kafka for enterprise customers in China. The tech stack—MySQL, Oracle, Elasticsearch, Hadoop, Flink—indicates a mature data processing foundation. Recent adoption of LangChain and RAG, paired with active projects around large-model knowledge bases and industry assistants, signals a shift toward AI-augmented features. The engineering-heavy team (12 engineers, 2 data specialists) and focus on system optimization suggests they're retrofitting LLM capabilities into an existing platform rather than building from scratch.

Tech Stack 37 technologies

Core StackJava Redis MySQL Oracle Linux Hadoop Elasticsearch Kafka Apache Flink JavaScript Vue Node.js Spring Kubernetes Jakarta EE Spring MVC Spring Boot MyBatis SQL Tomcat Apache Flume Hive Bash jq CSS HTML HTML5 QTP (Quick Test Professional) is commonly known by its modern name after being rebranded by Micro Focus. UFT LoadRunner JMeter+5 more

AdoptingLangChain RAG

What 上海天用唯勤软件技术有限公司 Is Building

◆Challenges

Existing system optimization
Evaluating large model capabilities

▲Active Projects

Large model knowledge base
Large model industry assistant
System optimization and refactoring
Technology documentation
Model training data construction and evaluation

Hiring Activity

Minimal15 roles · 0 in 30d

Department

Engineering

Data

Seniority

Mid

Senior

Junior

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About 上海天用唯勤软件技术有限公司

Tienon is a small software development company based in Shanghai building enterprise Java applications and backend systems. The product spans full-stack infrastructure: relational databases (MySQL, Oracle), message streaming (Kafka), search (Elasticsearch), and distributed computing (Hadoop, Flink). Recent work centers on integrating large language models—specifically knowledge bases and industry-specific assistants—into their platform. The team operates primarily in China and is actively working on technology documentation and training-data pipelines to support their model initiatives.

Headquarters上海市, 上海市

Company Size~6 employees

Hiring MarketsChina

Frequently Asked Questions

What tech stack does Tienon use?

Java, Spring Boot, MySQL, Oracle, Kafka, Elasticsearch, Hadoop, Flink, Redis, and Kubernetes. They're adopting LangChain and RAG for LLM integration.

What is Tienon working on?

Large model knowledge bases, industry-specific assistants, system optimization, technology documentation, and training-data construction and evaluation pipelines.