À propos de ce poste AI Engineer chez Centific
About Centific
Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.
Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.
About Job
The AI Engineer will join Centific’s Flow R&D team in Singapore to develop and enhance AI-powered solutions for multilingual content, data processing, and quality assurance. The role will work closely with our Singapore-based AI team as well as AI scientists and engineers across our global R&D organization, applying Generative AI and LLM technologies to real-world product and customer use cases. This role is ideal for someone with a strong interest in AI, hands-on problem solving, and a willingness to learn and experiment with emerging technologies.
Responsibilities
• Develop and improve AI-powered features and solutions for the Flow platform.
• Work on AI Data QA, multilingual data processing, and AI quality evaluation.
• Experiment with LLMs, Generative AI, and agentic AI technologies.
• Develop prompts, workflows, prototypes, and evaluation methods for AI applications. Analyze AI outputs and data to identify quality issues, risks, and opportunities for improvement.
• Build and test prototypes to validate new AI capabilities and product ideas.
Collaborate closely with the Singapore AI team and other AI scientists, engineers, and product teams globally.
• Research and evaluate emerging AI technologies and apply them to practical product and customer use cases