Senior Data Scientist

PLUM is a fintech company empowering financial institutions to grow their business through a cutting-edge suite of AI-driven software, purpose-built for lenders and their partners across the financial ecosystem.

This is a fully remote position, open to candidates anywhere in the U.S. with a reliable internet connection. You will have autonomy and flexibility in a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action.

We are looking for a Senior Data Scientist to lead the development of scalable Generative AI pipelines that process raw data and generate context-aware results to power Plum's AI-driven products.

• Design and architect end-to-end Generative AI pipelines using LLMs to process and generate context-aware results
• Integrate open-source and proprietary LLMs via APIs and custom orchestration
• Build and optimize workflows using frameworks such as Lang Chain
• Design and implement RAG architecture to inject relevant, contextual data into generation prompts
• Develop robust methods to evaluate and compare LLM outputs based on relevance, personalization, and factual accuracy
• Build automated and scalable LLM evaluation pipelines using embedding-based similarity, scoring metrics, and human-in-the-loop feedback
• Implement monitoring, observability, and logging for GenAI workflows to ensure reliability in production
• Collaborate with cross-functional teams to integrate generative outputs into client-facing applications

• Master's degree in Computer Science, Engineering, Physics, or a related technical field or equivalent work experience
• 3+ years of experience developing and deploying machine learning pipelines in production
• 1+ years of experience building Generative AI or LLM-based applications
• Strong programming skills in Python, with hands-on experience in ML/AI frameworks
• Deep understanding of LLM evaluation, prompt engineering, and text generation quality metrics
• Experience designing and implementing RAG architectures
• Hands-on experience with Databricks, MLflow, or similar platforms
• Experience with cloud infrastructure and MLOps practices for deploying and maintaining models in production
• Strong problem-solving skills and ability to lead through ambiguity
• Excellent communication and documentation habits

• Prior experience using Generative AI in Fintech, Sales Tech, or Marketing Tech domains
• Experience with agentic frameworks such as Lang Graph, AutoGPT, or CrewAI
• Familiarity with fine-tuning or custom instruction tuning of LLMs
• Understanding of data privacy and compliance implications when working with client data and GenAI systems

• A fast-paced, collaborative startup culture with high visibility
• Autonomy, flexibility, and a flat corporate structure
• Opportunity to make a meaningful impact in building a company and culture
• Equity in a financial technology startup
• Generous health, dental, and vision coverage for employees and family members + 401K
• Eleven paid holidays and unlimited discretionary vacation days
• Competitive compensation and bonus potential