Senior Data Scientist

PLUM is a fintech company empowering financial institutions to grow their business through a cuttingedge suite of AIdriven software, purposebuilt for lenders and their partners across the financial ecosystem. We are a boutique firm, where each person’s contributions and ideas are critical to the growth of the company.

This is a fully remote position, open to candidates anywhere in the U.S. with a reliable internet connection. While we gather in person a few times a year, this role is designed to remain remote longterm. 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. Youll collaborate with a highperforming team — including sales, marketers, and financial services experts — who stay connected through Slack, video calls, and regular team and companywide meetings. We’re a team that knows how to work hard, have fun, and make a meaningful impact—both together and individually.

Job Summary

We are looking for a Senior Data Scientist to lead the development of scalable Generative AI pipelines that process raw data and generate contextaware results to power Plum’s AIdriven products. You will play a central role in shaping our GenAI platform, working across the full ML lifecycle—from ingestion and retrieval to generation, evaluation, and deployment.

This role combines deep expertise in machine learning with handson experience in building productiongrade systems. You’ll collaborate closely with various cross functional teams and operate in a fastpaced environment where innovation, autonomy, and ownership are key.

Key Responsibilities

• Design and architect endtoend Generative AI pipelines using LLMs to process and generate contextaware results.
• Integrate opensource and proprietary LLMs (e.g., GPT, LLaMA) via APIs and custom orchestration.
• Build and optimize workflows using frameworks such as LangChain
• Design and implement RAG (RetrievalAugmented Generation) 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 embeddingbased similarity, scoring metrics, and humanintheloop feedback.
• Implement monitoring, observability, and logging for GenAI workflows to ensure reliability in production.
• Collaborate with crossfunctional teams to integrate generative outputs into clientfacing applications.

• Requirements

  • 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 LLMbased applications.
  • Strong programming skills in Python, with handson experience in MLAI frameworks (e.g., LangChain, Transformers, LLM APIs).
  • Deep understanding of LLM evaluation, prompt engineering, and text generation quality metrics.
  • Experience designing and implementing RAG architectures.
  • Handson experience with Databricks, MLflow, or similar platforms.
  • Experience with cloud infrastructure (AWS preferred) and MLOps practices for deploying and maintaining models in production.
  • Strong problemsolving skills and ability to lead through ambiguity.
  • Excellent communication and documentation habits.

  • Preferred Qualifications

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

    • Benefits

      Benefits and Compensation

      • A fastpaced, collaborative startup culture with high visibility.
      • Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action.
      • 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.