AI Engineer (Remote)

Location Singapore
Discipline Engineering
Job Reference BBBH139121_1719209648
Salary Up to S$0.00 per annum
Consultant Name Goel Navneet
Consultant Email [email protected]
Consultant Contact No. 65515581
EA License No. 02C3423
Consultant Registration No. R1982194


  • Integrate and Fine-Tune LLMs: Integrate third-party AI and ML APIs into the clients platform, focusing on fine-tuning large models (LLMs) to specific needs, ensuring seamless functionality and superior user experience.
  • Advanced Prompt Engineering: Utilize prompt engineering and compression techniques to optimize model responses and enhance the interactive capabilities of Client, enabling more intuitive search, generation, and customization of animations.
  • Custom Embeddings and Data Preparation: Develop custom embeddings and prepare datasets, including synthetic data generation, to improve model training and performance.
  • Collaborative Development: Work closely with the product and design teams to identify opportunities for applying AI in new features and workflows, ensuring that AI solutions are aligned with user needs and business goals.
  • Research and Innovation: Research and develop models and APIs to keep Client at the cutting edge of technology, documenting and presenting findings and development processes to stakeholders and team members.
  • Efficient and Maintainable Code: Write clean, maintainable, and efficient code in Python and JavaScript necessary for AI model development and API integration.


  • Bachelor's degree in Computer Science, Data Science, AI, or a related field. A Master's degree is a plus.
  • Experience integrating AI/ML functionalities into web applications and working with RESTful APIs.
  • Expertise in programminglanguages of Python and JavaScript.
  • Experience with fine-tuning LLMs (GPT, BERT, or similar frameworks), agents, prompt engineering, and prompt compression is highly desirable.
  • Solid understanding of NaturalLanguage Processing (NLP) and experience implementing solutions for text generation, sentiment analysis, etc.
  • problem-solving skills, ability to work in a fast-paced environment, and a passion for continuous learning.


  • Knowledge of cloud platforms (AWS, Azure, GCP) and AI services is highly desirable.
  • Experience designing and implementing machine learning models, including automated tagging, content recommendation, and advanced natural
  • processing tasks.
  • Familiarity and experience with AI frameworks (TensorFlow, PyTorch, Hugging Face).