Plum Lending

Plum Lending

Plum Lending specializes in providing innovative AI solutions for lenders and brokers in the commercial real estate sector, enhancing the ownership experience by offering extensive loan options, advanced technology tools, and a unique network to suppor...

Real Estate
11-50
Founded 2014
$12M raised

Description

  • Design and architect end-to-end generative AI pipelines that process raw data into context-aware outputs.
  • Integrate open-source and proprietary LLMs through APIs and custom orchestration.
  • Build and optimize workflows using frameworks such as LangChain.
  • Design and implement RAG architectures that inject relevant contextual data into generation prompts.
  • Develop methods to evaluate and compare LLM outputs for relevance, personalization, and factual accuracy.
  • Build automated, 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 support reliable production systems.
  • Collaborate with cross-functional teams to integrate generative outputs into client-facing 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 LLM-based applications.
  • Strong Python programming skills with hands-on experience in ML/AI frameworks such as LangChain, Transformers, or LLM APIs.
  • 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, with AWS preferred, 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 is preferred.
  • Experience with agentic frameworks such as LangGraph, AutoGPT, or CrewAI is preferred.
  • Familiarity with fine-tuning or custom instruction tuning of LLMs is preferred.
  • Understanding of data privacy and compliance implications when working with client data and GenAI systems is preferred.

Benefits

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

Interested in this position?

Apply directly on the company website

Apply Now

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