AI Engineer Intern - Geylang
The Future of Finance, Powered by AI” We're embarking on an exciting journey at Trustplus AI Pte. Ltd. (“TrustPlus AI”), a dynamic tech startup poised to revolutionize credit assessment process for financial institutions through AI. We're currently seeking a visionary individual to join our engineering team, playing a pivotal role in shaping our technology landscape and driving the development of our product lines.
About Us:
TrustPlus AI does what human credit committees take weeks to accomplish — delivering results in seconds with even greater accuracy. Founded by Kevin Lee and WayVern Shong, former credit executives at leading global financial institutions, TrustPlus AI started on the belief that modern AI can now outperform traditional human analysis in credit evaluation – and we're proving it.Our agentic platform instantly crunches more data than any human ever could, distilling thousands of data points into a single, precise credit decision – a technical moat that deepens with every credit assessment processing. In multi-trillion-dollar lending and payment markets hungry for innovation, TrustPlus AI is uniquely positioned to redefine how creditors assess risk, backed by a defensible AI advantage and deep domain expertise.
Expansion Plans:
But that's not where our journey ends. We have a bold vision to expand our product offerings beyond credit and risk management. Our roadmap includes venturing into compliance, legal, operations, and other critical areas within the financial ecosystem.
Role Overview:
We are looking for a curious and driven AI Engineer Intern who is passionate about the intersection of AI and FinTech. You’ll support research and development efforts, assist in real-world projects, and learn directly from experienced engineers in a dynamic, startup environment.
Responsibilities:
- Support the development and implementation of NLP and LLM models for our AI-powered financial products.
- Assist in research and prototyping of LLM, RAG, and other AI techniques to enhance our credit risk solutions.
- Collaborate with the engineering team to collect, clean, and preprocess data for machine learning tasks.
- Help evaluate model performance and conduct experiments to improve accuracy, efficiency, and scalability.
- Stay current with the latest research and advancements in AI, ML, and NLP, and share insights with the team.
- Participate in team meetings, code reviews, and discussions to contribute ideas and grow technical expertise.
Qualifications:
- Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong interest in AI/ML, especially NLP and LLM technologies (e.g., GPT, BERT, RAG, etc.).
- Proficiency in Python and a basic understanding of machine learning libraries such as TensorFlow, PyTorch, or Hugging Face.
- Experience with data preprocessing, model training, or related coursework/projects is a plus.
- Self-motivated, eager to learn, and comfortable working in a fast-paced startup environment.
- Strong communication skills and the ability to work collaboratively in a multicultural, remote-first team.