AI Agent Application Development Engineer
Richinfo
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Job Description
About Richinfo
Richinfo Co., Ltd. (Stock Code: 300634) was founded in 2004 and is a national high-tech enterprise and a key software enterprise encouraged by the state. With over 4000 employees, it has established five R&D centers in Beijing, Guangzhou, Shenzhen, Hangzhou, and Chengdu, dedicated to becoming a leader in enterprise-level AI applications.
The company's core is the AI-native cloud computing solution Rich AICloud and the enterprise-level AI platform Rich AIBox, which together form a full-stack AI capability system covering computing power, platform, and applications. This system aims to build intelligent agent applications such as AI BI, voice intelligencers, and intelligent customer service, promoting the system-level implementation of AI capabilities in enterprise business. Currently, it has formed three major business segments: Smart Channels, Collaborative Office, and Intelligent Computing Services & Data Intelligence. Richinfo has long served key national industries such as telecommunications, energy, finance, and transportation, possessing the technical capability to support the stable operation of core systems serving hundreds of millions of users. Key clients include industry leaders like China Mobile, China Unicom, Southern Power Grid, Bank of China, and China Life.
With over twenty years of deep cultivation in the B2B sector, Richinfo has established a three-dimensional competitive moat of technology + customers + scenarios. It boasts core advantages such as profound industry Know-How, product validation for hundreds of millions of users, AI-native full-stack layout, and independent and controllable IT adaptation. The company offers employees benefits like free GPU computing power, practical experience in real production scenarios, one-on-one executive mentorship, A-share equity incentives, Beijing hukou (residency permit), and dual career development paths (management/professional), facilitating rapid growth in technical and professional capabilities.
AI Agent Application Development Engineer - A-Share Equity Incentive (Vesting after second year)
Job Locations: Beijing (Hukou available), Guangzhou, Shenzhen, Chengdu, Hangzhou
Job Responsibilities
- Lead the end-to-end construction of production-grade AI Agents in scenarios with hundreds of millions of monthly active users. Responsible for Harness architecture design, Eval evaluation system construction, vector retrieval optimization, and observability system implementation.
- Participate in large model fine-tuning, inference acceleration, and MLOps full-process management, ensuring the stable operation and performance optimization of AI Agent products in production environments.
- Collaborate with product and operations teams to iterate on AI Agent functionalities based on business scenarios and solve technical challenges in actual business, driving the implementation of technological achievements.
Qualifications
- Bachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering, Control Science, Mathematics, Physics, or other related engineering disciplines preferred.
- Proficient in Python, with TS/Go development capabilities. Certification in AI-related programming languages like PCAP or TypeScript is a plus.
- Familiarity with frameworks such as LangChain/LlamaIndex/Transformers, mastery of the PyTorch + HuggingFace toolchain, and practical experience in LoRA fine-tuning and vLLM inference acceleration.
- Understanding of Prompt/SKILL engineering, multi-agent collaboration, and RAG knowledge base related technologies. Experience with Claude Code CLI is a plus.
- Preference for candidates with ACM/Kaggle competition awards, GitHub AI open-source project contributions, top conference paper publications, or PCAP certification.
Key skills/competency
- AI Agent Development
- Large Model Fine-tuning
- Production-grade AI
- Harness Architecture
- Eval Evaluation System
- Vector Retrieval Optimization
- MLOps
- Prompt Engineering
- RAG
- Python
How to Get Hired at Richinfo
- Tailor your resume: Highlight Python, TS/Go, and AI framework experience (LangChain, LlamaIndex). Emphasize practical experience with LoRA fine-tuning and vLLM.
- Showcase AI projects: Include contributions to GitHub AI open-source projects, Kaggle/ACM achievements, or publications in your application.
- Understand the role: Focus on your experience with AI Agents, Prompt Engineering, RAG, and multi-agent systems.
- Prepare for technical interviews: Be ready to discuss AI Agent architecture, model fine-tuning, and production deployment challenges.
- Highlight enterprise AI experience: Mention any work with large-scale user scenarios or enterprise-level AI solutions.
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