AI Engineer (AI Agent）

• Design, develop and maintain AI Agent applications powered by Large Language Models (LLMs), including intelligent Q&A, task planning, tool calling, workflow orchestration, multi-agent collaboration and long-term memory.
• Design technical solutions and build production-ready AI applications using leading LLMs and Agent frameworks, covering solution architecture, prototyping, implementation, testing, deployment and continuous optimisation.
• Develop and optimise key AI capabilities including: Prompt Engineering, Retrieval-Augmented Generation (RAG), Enterprise Knowledge Base, Function Calling, Model Context Protocol (MCP) integrations.
• Integrate LLM capabilities with existing enterprise applications, business systems, databases and third-party APIs to automate and enhance business workflows.
• Establish evaluation and monitoring mechanisms for AI applications, continuously improving: task completion rate, response accuracy, system reliability, latency, model inference cost.
• Participate in AI product planning, system architecture design, API design, technical reviews and end-to-end project delivery.
• Keep up to date with the latest developments in LLMs, AI Agents and related technologies, conducting technical research, proof-of-concepts and production implementation.
• Collaborate closely with Product Managers, AI Scientists, Backend Engineers and business stakeholders to independently deliver core product features.

Requirements

Education

• Bachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering, Data Science or a related discipline.

Experience

• Minimum 5 years of software engineering or backend development experience with strong software engineering fundamentals and coding best practices.
• Strong proficiency in Python.
• Solid understanding of: data structures, oriented design, design patterns, concurrent programming, RESTful API development, exception handling.
• Experience developing backend services using FastAPI, Flask, Django or other modern Python frameworks.

AI / LLM Experience

• Hands‑on experience building LLM‑powered applications using one or more of the following:

OpenAI, Claude, Gemini, Qwen, DeepSeek, or equivalent commercial/open‑source models.

• Strong understanding of:

AI Agents, Prompt Engineering, Retrieval‑Augmented Generation (RAG), Function Calling, Model Context Protocol (MCP), Workflow orchestration.

• Experience with one or more AI frameworks/platforms, such as:

LangChain, LangGraph, LlamaIndex, AutoGen, Dify, FastGPT, Coze.

• Experience with Git, Docker, Linux and CI/CD pipelines.
• Familiarity with production deployment, monitoring and troubleshooting.
• Experience working with relational, vector or search databases, including one or more of:

Preferred Qualifications

Candidates with one or more of the following will be highly regarded:

• Production experience building AI Agents, enterprise knowledge bases, intelligent assistants or multi-agent systems.
• Experience in LLM fine‑tuning, embedding models, re‑ranking, model evaluation, inference optimisation or model serving.
• Experience with microservices, distributed systems, cloud‑native architecture and high‑concurrency backend systems.
• Industry experience in Energy Storage (BESS), Power & Energy, Industrial IoT, Smart Energy or Enterprise Digitalisation.

Soft Skills

• Strong analytical thinking and problem‑solving skills.
• Ability to independently own and deliver end‑to‑end technical modules.
• Excellent communication and cross‑functional collaboration skills.
• Ability to read and understand English technical documentation.