Freelance / Remote AI Engineer (AI Agent & Office Developer)

About the Role

We are looking for a hands-on, innovative Freelance AI Engineer to join our fast-growing ANGEL AI Office initiative. In this role, you will be responsible for the end-to-end development, deployment, maintenance, and continuous optimization of our AI-driven systems and virtual agents.

Whether you are designing intelligent workflows, training specialized AI Agents, or ensuring robust system operations, you will play a pivotal role in bridging advanced AI technology with real-world enterprise operations.

Key Responsibilities

• AI Agent Development & Training: Design, fine-tune, and train customized AI Agents to automate workflows, enhance operational efficiency, and support various business scenarios across our international hubs.
• System Development & Integration: Build and scale AI-powered applications, connecting Large Language Models (LLMs) and internal tools via APIs and modern software architectures.
• Ops & Maintenance (LLMOps/DevOps): Monitor, troubleshoot, and optimize AI models and system infrastructure to ensure high availability, low latency, and cost-effective operations.
• Workflow Optimization: Collaborate with business and operations teams to identify automation opportunities and transform traditional office workflows into intelligent, AI-driven processes.
• R&D & Innovation: Stay up-to-date with the latest advancements in generative AI, Agentic workflows, and LLM frameworks to continuously upgrade our AI Office capabilities.

Qualifications & Requirements

• Experience: Proven experience (2+ years) in software development, with a strong focus on AI/ML application development, LLMs, and AI Agents.
• Technical Stack:
• Proficiency in Python and modern AI/LLM frameworks (e.g., LangChain, LlamaIndex, AutoGen, or similar agentic orchestration tools).
• Experience with API integrations, vector databases (e.g., Pinecone, Milvus, Chroma), and prompt engineering.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and basic MLOps/DevOps practices (Docker, CI/CD).
• Mindset: Self-motivated, problem-solver with a strong sense of ownership—ideal for a remote, flexible work environment.
• Communication: Good communication skills in English (Mandarin proficiency is a strong plus).