Senior AI Engineer - Fintech Domain
About the Role
We are looking for a Senior AI Engineer - Fintech Domain to join our leading global fintech platform. This role offers the opportunity to work remotely while contributing to pioneering AI-native systems that leverage LLMs, intelligent agents, and automation to drive core capabilities. As a Senior AI Engineer, you'll play a crucial role in shaping the future of financial technology.
What You’ll Do
- Train, fine-tune, and deploy LLMs (using SFT/RLHF) as production-ready systems.
- Develop vertical AI agents specifically tailored for financial technology domains.
- Implement domain Q&A and knowledge tools to enhance user experience.
- Create specialized financial insight engines that provide valuable analytics.
- Collaborate with product and engineering teams to ship AI at scale.
Requirements
- Hands-on experience with LLMs and deep learning frameworks, particularly PyTorch and Transformers.
- Strong Python programming skills and solid engineering fundamentals.
- Experience in building domain-specific AI solutions, preferably in fintech or finance.
- Fluency in Mandarin and English is required.
- Entry-level experience in AI engineering is acceptable, but a strong foundation in relevant technologies is essential.
Nice to Have
- Background in fintech, trading, or quantitative analysis.
- Experience with scaled AI deployments and agentic AI systems.
What We Offer
- Work on impactful projects that shape AI for a global top platform.
- Real-world impact at a massive scale.
- Fully remote work with a focus on GMT+8 hours.
- Flexible work arrangements that promote a healthy work-life balance.
- Opportunities for professional growth and development in a cutting-edge field.
This Senior AI Engineer position offers a unique opportunity to work remotely in a leading fintech company, focusing on impactful AI solutions.
About Confidential
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Who Will Succeed Here
Proficiency in Python and experience with PyTorch for implementing and optimizing deep learning models, particularly in the context of financial applications.
Strong self-motivation and the ability to thrive in a remote work environment, demonstrating effective time management and independent problem-solving skills.
A continuous learning mindset with hands-on experience in training and deploying Large Language Models (LLMs), coupled with a keen interest in fintech innovations and regulatory considerations.
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