Graduate Hiring – AI Engineer

About BIT：

BIT (formerly Matrixport) is a global digital asset financial services and infrastructure group. Headquartered in Singapore and founded in 2019, BIT bridges traditional finance and digital assets through governance-driven financial services and technology.

The firm manages over US$7 billion in assets and facilitates more than US$7 billion in monthly trading volume. BIT offers services including custody, trading, asset and wealth management, liquidity and financing solutions, and tokenised real-world assets (RWA), serving institutional and professional investors globally.

BIT Group entities maintain a licensed and regulated footprint across Singapore, Hong Kong, Switzerland, the United Kingdom, the United States and Bhutan.

For more information, visit www.bit.com

BIT is looking for a passionate, hands-on new graduate to join us in bringing AI to life inside a real organization. You’ll work directly on building the company’s AI infrastructure — not slides, but systems and tools that actually run — and help every team work smarter through AI.

WHAT YOU’LL DO

• AI workflow adoption — Collaborate with teams across the business, deeply understand their day-to-day, and design AI Agent-powered workflow solutions that make human-machine collaboration a genuine reality at BIT.

• Company-wide AI infrastructure — Help build BIT’s AI foundation from the ground up, including: MCP (Model Context Protocol) service integration for data platforms; design and implementation of an Agent Skills / Plugins management platform; and building and iterating on an internal knowledge-base engine powered by RAG architecture.

• Evaluation & continuous improvement — Define success metrics for deployed AI tools and agents, collect user feedback, and iterate consistently so that AI capabilities are not just built, but actually used well.

• Cross-functional discovery — Proactively engage business teams to uncover AI enablement opportunities and turn vague requirements into clear, executable technical plans — product thinking is a must.

• Research & internal knowledge sharing — Stay on top of the latest AI developments, bring high-value tools and methodologies into the company, and crystallize them as lasting internal knowledge through documentation and team sessions.

WHAT WE’RE LOOKING FOR

• Bachelor’s degree or above in Computer Science or a related field (new graduates welcome); solid CS fundamentals.

• Proficient in Python — able to independently write tooling scripts or build prototype systems, with basic debugging and problem-diagnosis skills.

• Working understanding of LLM fundamentals — Transformer architecture, pre-training, RLHF, etc. Deep research experience isn’t required, but you should know the “why” behind the technology.

• Familiar with the RAG pipeline: document chunking, vectorization, retrieval evaluation, and related concepts.

• Systematic Prompt Engineering skills — System Prompts, few-shot learning, Chain-of-Thought reasoning, with ability to tune for specific business contexts.

• Power user of mainstream AI products such as Claude, Claude Code, and ChatGPT.

• Familiar with AI Agent frameworks: MCP, Agent Skills/Plugins, A2A, Function Calling, Harness.

• Keeps up with the open-source AI ecosystem; hands-on experience with LangChain, LlamaIndex, or AutoGen is a plus.

• Self-driven, fast learner, creative, curious, and a strong communicator.

BONUS POINTS

• AI-related project experience during studies (research, competitions, or personal projects all count).

• Open-source contributions on GitHub or similar platforms.

• Experience independently building an AI tool or a small Agent system.

• Basic familiarity with cloud platforms (AWS / GCP / Azure / Alibaba Cloud, etc.).

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