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- Salary
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- Openings
- 1
- Posted
- 2 weeks ago
- Work mode
- In office
- Education
- Bachelor's degree
- Resume
- Required to apply
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Job description
About Vocalbeats.AI
Vocalbeats.AI is a rapidly growing international technology firm specializing in AI-driven innovations. We develop intelligent and user-centric AI applications that serve tens of millions of users globally. Headquartered across Singapore, Japan, and China, our team consists of talents from prestigious universities such as Cornell, CMU, UMich, UCL, NUS, and HKU, alongside experts from leading tech companies. We foster a flat organizational culture emphasizing direct communication and creativity, rewarding merit and contribution over hierarchy.
Role Overview and Responsibilities
- Deeply comprehend core functions, user demographics, and use cases of diverse AI tools including writing, image, and voice technologies.
- Develop and refine prompt designs based on practical workflow analysis, iteratively tuning prompts to enhance performance.
- Translate complex product logic and user requirements into well-organized prompt strategies aimed at boosting response precision, utility, consistency, and controllability.
- Perform evaluations of prompt efficacy through limited-sample trials, metric tracking, and gathering user feedback, driving continuous improvements with measurable success.
- Work collaboratively with Product, Machine Learning/Algorithm, and Design teams to ensure alignment of prompts with product features, maintaining quality and stability in vital user pathways.
- Document reusable prompt methodologies and best practices to create an internal resource base aiding rapid expansion across the product line.
- Stay updated with cutting-edge developments in large language model (LLM) technologies and compare outputs from models like GPT, Claude, ERNIE Bot, and Qwen to select or adapt optimal prompting techniques per context.
- Engage progressively in model fine-tuning initiatives and optimizations such as Retrieval-Augmented Generation (RAG), Supervised Fine-Tuning (SFT), and Low-Rank Adaptation (LoRA), blending product insight with model enhancement capabilities.
Candidate Requirements
- Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Electrical Engineering, Mathematics, Computational Linguistics, or related STEM disciplines.
- Strong grasp of LLM concepts and constraints coupled with practical experience in prompt engineering or a well-founded understanding of prompt design methodologies.
- Exceptional product acumen oriented towards user goals, product positioning, and authentic usage scenarios to design and optimize prompts effectively.
- Excellent communication skills with the ability to write clearly and structure output tone, format, and structure precisely.
- Proficiency with basic data analysis tools like Excel, SQL, and Python to measure and interpret prompt performance.
- High proficiency in English (minimum CET-6 level) capable of understanding technical documentation and debugging prompts written in English.
- A strong intellectual curiosity and quick learning ability, motivated to evolve as an "AI application builder" by integrating business insight with technical model knowledge and continually enhancing LLM output in real-world product contexts.
Benefits and Work Environment
- Opportunity to innovate products that impact global users and create significant worldwide influence.
- Collaborate with a driven team exploring novel technologies and transforming ideas into tangible outcomes.
- Engage with a diverse, global professional community, enhancing perspectives and gaining cross-cultural experiences.
- Professional growth through tackling actual business challenges, deepening expertise, and opening new career pathways.
- Competitive remuneration, comprehensive benefits package, and an inspiring workplace setting.
Minimum education
Bachelor's Degree
Skills
Tools & software
Microsoft Excel
required
How they work
Communication
Teamwork & Collaboration
Problem Solving
Customer Focus
Learning Agility
Languages
Servicenow