职位&公司对比

职位详情

• 深圳
• 3-5年
• 本科

• 深度学习
• 机器学习
• 大模型算法
• 自然语言处理算法
• Python
• 算法工程化经验
• 金融
• 交易

Role Overview As an AI Agent Developer at Amber Group, you will be at the forefront of Web3 and AI innovation, creating intelligent agents that address unique business challenges for our clients. Collaborating closely with our dynamic team, you will play a critical role in shaping the strategic adoption of AI-driven solutions. If you are passionate about pushing the boundaries of AI, thrive on solving real-world challenges, and value ownership, creativity, and techn来自BOSS直聘ical excellence, this is the perfect role for you! Key Responsibilities Design and implement LkanzhunLM-based agent architectures, including task planning, dialogue management, intent recognition, and workflow optimization. Develop and maintain backend services for AI agents, ensuring stability, scalability, and high performance. Stay on top of cutting-edge AI Agent technologies, continuously driving improvements in architecture and performance. Collaborate with cross-functional teams—including product, design, and development—to deliver high-quality AI agent solutions on schedule. Requirements Educational Background: Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field. Advanced degrees (Master's or Ph.D.) are highly preferred. Technical Skills: Strong hands-on experience with one or more programming languages, such as Python, Go, JavaScript, or TypeScript, with a solid foundation in software architecture and application design. Deep understanding of AI Agent ecosystems and experience with frameworks such as AutoGPT, LangChain, LlamaIndex, AgentKit, Swarm, etc. Proficiebossncy in Prompt Engineering is highly desirable. Familiarity with NLP, machine learning, and fine-tuning models is a plus. Expertise in designing, testing, and optimizing prompts, including advanced techniques like COT (Chain-of-Thought), TOT (Tree-of-Thought), GoT (Graph-of-Thought), and RAP (Reinforcement-Aware Prompting). Better to have: Experienced in financial investment or trading would be preferred.