ML Engineer (LLM-based Fintech)

You will

• Develop infrastructure for LLM-based features — agent memory, message flow, context retrieval, tools, prompt adjusting, fine-tuning etc.
• Launch a variety of personal finance management use cases — budgeting, financial product recommendations, analytics, payment automation etc.
• Research and solve key bottlenecks — limited context, latency, privacy, hallucinations etc.

Requirements

• Great experience developing quick experiments in the ML space.
• Ability to learn very quickly.
• Unlimited interest in the LLM and fintech space.
• Hands-on experience with NLP/LLM-based features.
• Practical experience with training and fine-tuning domain-specific LLMs.
• Basic understanding of LangChain or similar approaches to the agent-tool paradigm.
• Data scraping and processing experience.

Perks

• Flexible hours, remote setup.
• Competitive salary and equity.
• Autonomy and influence.
• In-demand experience at a high-pace fintech.
• Open, fast-moving and fun environment.
• Contribution to big social mission and world-class customer experiences.
• Working closely with the founding team.
• Experience with launching products in the most competitive market in the world.
• Steep learning curves for hard and soft skills.