[ Trading Company ] Sr. LLM Engineer

An exceptional opportunity awaits for you to join a pioneering team at the forefront of artificial intelligence and financial technology in Taipei. This Sr. LLM Engineer position is designed for those who are passionate about harnessing the power of advanced AI to transform trading automation and market analysis. You will be instrumental in building and refining core capabilities in LLM agents and RL, directly impacting live trading environments.

Salary: Competitive and based on experience

Location: Taipei

Keywords: Large Language Model, Reinforcement Learning, AI Agents, Financial Text Analysis, MLOps, Collaboration, Market Insights, Production Systems, Research Translation, Trading Automation

An exceptional opportunity awaits for you to join a pioneering team at the forefront of artificial intelligence and financial technology in Taipei. This Senior Large Language Model Engineer position is designed for those who are passionate about harnessing the power of advanced AI to transform trading automation and market analysis. You will be instrumental in building and refining core capabilities in Large Language Model (LLM) agents and Reinforcement Learning (RL), directly impacting live trading environments. Working closely with quantitative analysts, data engineers, and software developers, your expertise will help bridge the gap between cutting-edge research and robust production systems. The role offers a unique blend of technical challenge, collaborative teamwork, and the chance to make a tangible difference in how financial markets are understood and navigated. Flexible working opportunities, exposure to frontier research, and a culture that values knowledge sharing make this an ideal environment for growth-oriented professionals seeking to deepen their impact in both AI and finance.

• Play a pivotal role in developing LLM-powered agents that drive real-world trading strategies and enhance market insights through direct collaboration with cross-functional teams.
• Enjoy flexible working opportunities while engaging with the latest advancements in AI, including prompt engineering, model optimisation techniques, and MLOps best practices.
• Benefit from a supportive environment that encourages continuous learning, internal tech sharing, and professional development within a highly knowledgeable team.

What you'll do:

As a Senior Large Language Model Engineer based in Taipei, you will immerse yourself in a dynamic environment where your work directly influences the future of automated trading systems. Your day-to-day activities will involve close collaboration with quants to co-design experiments that turn sophisticated model outputs into practical trading signals. You will architect intelligent AI agents capable of enhancing both research productivity and execution efficiency. By leveraging advanced techniques such as prompt engineering or model optimisation strategies like LoRA or MoE, you will continually refine system performance while balancing cost considerations. Your expertise will also be crucial in tailoring large language models for nuanced financial text analysis—improving the accuracy of event detection and sentiment inference from diverse data sources. Embracing best practices in MLOps ensures your solutions are not only innovative but also reliable and scalable for live deployment. Regular engagement with internal stakeholders through tech sharing sessions keeps your team at the cutting edge of industry developments. Success in this role means consistently delivering high-quality solutions that empower smarter decision-making across the organisation.

• Collaborate with quantitative researchers to design experiments that translate model outputs into actionable trading signals, utilising both offline and online backtesting as well as A/B testing methodologies.
• Architect and implement advanced AI agents—such as retrieval-augmented generation (RAG), tool use frameworks, and task planning modules—to streamline strategy research and improve trading execution efficiency.
• Apply state-of-the-art techniques including prompt engineering, mixture of experts (MoE), low-rank adaptation (LoRA), quantisation, and distillation to optimise performance-cost trade-offs and reduce inference latency.
• Specialise in fine-tuning and aligning large language models using supervised fine-tuning (SFT) or direct preference optimisation (DPO) specifically for financial text sources such as disclosures, news articles, social media feeds, and earnings reports to enhance event detection and sentiment analysis.
• Adopt modern MLOps practices such as containerisation, continuous integration/continuous deployment (CI/CD), feature/model versioning, and compliance monitoring to accelerate development cycles while ensuring operational reliability.
• Monitor emerging research trends in AI and machine learning by tracking publications, leading internal technical knowledge-sharing sessions, and advising on model selection or architectural evolution.
• Work closely with data engineers to ensure seamless data pipelines for training and deploying models in live trading environments.
• Contribute to the creation of robust documentation for technical processes, experiment results, and system architectures to facilitate knowledge transfer across teams.
• Engage in regular cross-team communication to align project goals, share progress updates, and address challenges collaboratively.
• Participate actively in code reviews, technical discussions, and external presentations or community events when required.

What you bring:

To excel as a Senior Large Language Model Engineer in this setting, you will bring proven experience navigating complex machine learning challenges within both academic and commercial environments. Your background includes not only formal education but also demonstrable achievements—whether through published research or impactful open-source contributions—that highlight your technical depth. You are skilled at rapidly translating theoretical advances into practical solutions by leveraging modern frameworks like PyTorch or TensorFlow alongside cutting-edge tools from the broader LLM ecosystem. Your approach is grounded in careful experiment design paired with clear communication skills that foster effective collaboration across teams. Experience working on financial applications—ranging from predictive analytics to sentiment extraction—will enable you to quickly understand domain-specific requirements while contributing valuable insights during project scoping sessions. Your fluency in Mandarin and English supports seamless interaction within an international team context. Above all else, your enthusiasm for applying AI innovations to real-world market challenges drives you to continuously learn from peers while sharing your own expertise generously.

• A postgraduate degree (M.S. or above) in Computer Science, Electrical Engineering, Data Science or equivalent practical achievements demonstrating deep technical capability.
• Proficiency with modern AI coding tools such as Cursor or Claude Code; adeptness at specification engineering combined with test-driven development approaches for rapid prototyping through iterative improvement cycles.
• At least two years’ hands-on experience working with large language models using PyTorch or TensorFlow frameworks—including end-to-end training and fine-tuning responsibilities.
• Comprehensive understanding of the LLM ecosystem (e.g., LangGraph, Ollama, OpenAI SDK) enabling swift prototyping and deployment of new services into production environments.
• Demonstrated ability to design rigorous experiments, decompose complex problems effectively, and communicate findings clearly across multidisciplinary teams—with particular attention to observability and operability standards.
• Fluency in both Mandarin and English is essential; you should be comfortable writing detailed technical documentation as well as presenting externally when needed.
• Experience applying machine learning techniques within financial contexts such as market prediction modelling, event extraction from unstructured data sources, sentiment analysis workflows, factor modelling or portfolio optimisation projects.
• Active participation in competitions or communities like Kaggle or AI Challenger—or contributions to open-source projects—showcasing your commitment to ongoing professional development.
• Track record of publishing research papers or delivering talks at top-tier conferences such as NeurIPS, ICML, ICLR or CVPR is highly regarded.
• Personal attributes include being outcome-oriented with a passion for AI applications in markets; resilience under pressure; curiosity-driven problem solving; proactive stakeholder alignment; candid yet respectful communication style.

What sets this company apart:

This organisation stands out by offering an environment where intellectual curiosity meets practical application at scale—especially within the intersection of artificial intelligence and finance. Here you will find a culture that prioritises knowledge sharing through regular internal tech sessions while encouraging every team member’s professional growth via exposure to frontier research topics. Flexible working arrangements support work-life balance without compromising on ambitious project goals. The company’s commitment to fostering collaboration across disciplines ensures that your contributions are valued not just for their technical merit but also for their positive impact on collective outcomes. With access to state-of-the-art resources—and surrounded by colleagues who are equally passionate about advancing both technology and market understanding—you’ll have every opportunity to shape meaningful solutions that redefine what’s possible in automated trading systems.

What's next:

If you are ready to take your expertise in large language models to new heights within an inclusive team shaping the future of financial technology, this is your moment!

Apply today by clicking on the link provided—your next career chapter starts here.