AI Engineer

Key Responsibilities

• Multi-Model Strategy & Implementation:** Design and implement solutions using the most suitable AI models—from SaaS APIs (OpenAI, Gemini, Claude) to fine-tuned open-source models (e.g., Llama, Mistral)—balancing performance, cost, and data privacy requirements.
• Advanced Prompt Engineering & Tuning:** Develop, test, and optimize sophisticated prompts and fine-tuning strategies to make large language models (LLMs) highly effective for specific retail and O2O use cases.
• End-to-End AI Application Delivery:** Build and deploy full-stack AI applications, from the backend API integrations to (potentially) front-end prototypes, ensuring they are scalable and reliable within our cloud infrastructure (primary: Huawei Cloud).
• RAG System Development:** Architect and build Retrieval-Augmented Generation (RAG) systems to ground LLMs in our proprietary enterprise data (tenant info, promotions, FAQs, operational docs), ensuring accurate and context-aware responses.
• Cross-Functional Collaboration:** Act as the AI subject-matter expert for teams across the company (Marketing, Leasing, Operations, Customer Service), translating their needs into viable AI-powered solutions.
• Cloud-Agnostic Development:** Build solutions that are flexible and not locked into a single cloud vendor, with a primary deployment environment on our existing Cloud Kubernetes stack.

Qualifications & Skills

• Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related field.
• Proven experience building applications with Generative AI and LLMs.**
• Hands-on experience with Prompt Engineering and API integration for models like OpenAI GPT or Google Gemini
• Strong programming skills in relevant languages and experience with relevant frameworks (e.g., LangChain, LlamaIndex).
• Experience with **cloud platforms** (Huawei Cloud, AWS, GCP, or Azure) and containerization with **Docker and Kubernetes**.
• A strong product mindset and a passion for solving real-world business problems in the O2O/retail space/business operations.
• Excellent communication skills to explain complex AI concepts to non-technical stakeholders.