AI Agent Engineer
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Location
In office (Hong Kong)
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 26, 2026.
Overview
Company
Impact
Profile match
Amber Group is a digital asset financial services firm founded in 2017 and headquartered in Singapore. It provides institutional trading, market making, structured products and wealth management across Asia, Europe and the Middle East. The group has also built consumer and technology businesses and listed a subsidiary on a United States exchange.
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 technical excellence, this is the perfect role for you!
Key Responsibilities
- Design and implement LLM-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. Proficiency 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.
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