Backend Engineer – AI Agent

Role Overview

We are partnering with a client who is growing their team focused on artificial intelligence, seeking a Backend Engineer to develop backend systems and products powered by AI agents. The role involves close collaboration with product, data, and engineering teams to transform AI technologies into practical, scalable product features and services.

Key Responsibilities

• Architect and implement scalable backend services tailored for AI-powered products.
• Participate in system architecture planning, technical designs, and feature development processes.
• Create backend infrastructure to support AI agent applications, including managing agent workflows, handling tool integrations, orchestrating tasks, and facilitating external connections.
• Embed large language model (LLM) functionalities into actionable product workflows, emphasizing reliability and scalability.
• Collaborate with multidisciplinary teams to convert business needs into technical deliverables.
• Investigate AI technologies and adopt AI-assisted development tools to enhance engineering productivity.

Candidate Requirements

• Bachelor's degree or higher in Computer Science, Software Engineering, or a related discipline.
• Minimum of three years' experience in backend software development, with a solid foundation in programming principles.
• Expertise in Golang programming; familiarity with Java and Spring Boot frameworks is advantageous.
• Hands-on experience with MySQL, Redis, message queues, Elasticsearch, or comparable database and messaging technologies.
• Knowledge of system architecture, API development, distributed system design, or middleware technologies.
• Keen interest in large language models (LLMs), AI agents, and AI-driven solutions.
• Experience with LLM-related APIs, agent frameworks, tool invocation, retrieval-augmented generation (RAG), or task orchestration is beneficial.
• Strong analytical and problem-solving abilities along with effective communication skills.
• Proficiency in both English and Chinese languages is preferred.