[Trading Company] Sr. LLM Engineer

A trading company in Taiwan seeks a Senior Large Language Model Engineer to build and deploy AI systems for low-latency financial trading in production environments.

Key responsibilities:

As a Sr. LLM Engineer, you will build and optimise LLM agents and RL systems for trading, turning model outputs into actionable signals with quant teams.

• Co-design experiments with quants to convert model outputs into tradable signals, using offline/online backtesting and A/B testing
• Build AI agents (RAG, tool use, planning) to enhance strategy research and trading execution efficiency
• Apply prompt engineering, MoE, LoRA, quantisation, and distillation to optimise performance–cost trade-offs and reduce inference latency
• Fine-tune and align models (SFT/DPO) on financial text (news, disclosures, earnings, social data) to improve event and sentiment understanding
• Implement MLOps best practices (containerisation, CI/CD, feature/model versioning) to improve delivery speed and compliance
• Track frontier AI research and lead internal knowledge sharing to guide model and architecture decisions

Candidate profile:

To excel in this role, you bring strong LLM engineering experience, production deployment skills, and experiment design capability.

• M.S. or above in CS/EE/Data Science, or equivalent practical experience
• Proficient with AI coding tools (e.g., Cursor, Claude Code) and spec-driven, TDD workflows for rapid 0→1 development
• 2+ years’ LLM experience using PyTorch/TensorFlow, including end-to-end training and fine-tuning
• Strong knowledge of LLM ecosystem tools (e.g., LangGraph, Ollama, OpenAI SDK) for rapid prototyping and deployment
• Strong experiment design, problem decomposition, and cross-team collaboration with focus on observability and operability
• Effective communication in Mandarin and English, with ability to write technical documentation and present externally
• Financial ML experience (e.g., prediction, sentiment analysis, factor modelling) or active participation in AI competitions/open source/research communities

About the company:

A global investment organisation operating across diversified asset strategies, focused on disciplined growth, long-term value creation, and data-driven decision-making. It offers a high-performance, collaborative environment with strong support for innovation, ownership, and continuous development.

Keywords: LLM, AI solutions, RL systems, prompt engineering, MLOps, trading company

What’s next:

Apply now to join a high-impact team shaping the future of data-driven investment and long-term value creation.