Senior Engineer - Back End

About the role

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead.

At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.

Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

The Role

Veeva is looking for a Senior Back-end Engineer to join our team in Beijing. This engineer will be responsible for China CRM's applications development of our SaaS cloud products.

What You’ll Do - SaaS platform architecture design, improvement and implementation, technology selection

- Analyze business requirements and provide business implementation solutions

- Work with front-end engineers, product managers and QA engineers to ensure product quality and development progress

- Based on the understanding of the business, improve the user experience of the product and use technology to drive business development

- Design and deploy LLM-based AI Agents, integrating Agent capabilities into core business scenarios to boost product intelligence.

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Build core Agent capabilities (Function Calling/Tool Use, memory, planning, and multi-Agent collaboration); build and optimize RAG pipelines, prompt engineering, and related workflows.

- Tracking and researching cutting-edge technologies and applying them to the company's product development (including LLMs and AI Agents)

- Needs to use python for development

Requirements - Bachelor’s degree or higher in Computer Science or a related field.

- 5+ years of software development experience.

- Proven experience in SaaS platform software design and development.

- Demonstrated experience in designing large-scale distributed systems.

- Hands-on project experience with AI Agents or LLM applications; proficiency in at least one mainstream framework (e.g., LangChain, LangGraph, LlamaIndex, AutoGen).

- Familiarity with key technologies including RAG, prompt engineering, Function Calling, and vector databases. Knowledge of Agent ecosystem protocols like MCP (Model Context Protocol) is a plus.

- Strong knowledge of common data structures and algorithms.

- Proficient in relational database design and development.

- Deep understanding of object-oriented design (OOD) principles.

- Mastery of at least one mainstream programming language (e.g., Python, Java, C++).

- Familiarity with web development frameworks (e.g., Django, Flask, Spring).