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Software Engineer - Search and Retrieval-Augmented Generation (RAG) - Remote

Posted 3 weeks ago

Overview

As a Software Engineer focused on Search and Retrieval-Augmented Generation (RAG), you will play a pivotal role in redefining how financial professionals discover, analyze, and engage with alternative investments.

In Short

  • Develop advanced RAG pipelines to integrate and analyze structured and unstructured data.
  • Design algorithms for complex RAG workflows.
  • Fine-tune RAG pipelines for accuracy and relevance.
  • Write modular code for reusability and maintainability.
  • Prototype features for user feedback.
  • Build systems to evaluate AI agents.
  • Create test cases for system robustness.
  • Prepare data for RAG processes.
  • Deploy RAG pipelines on cloud platforms.
  • Stay updated on Generative AI research.

Requirements

  • Strong Python programming experience.
  • Expertise in retrieval augmented generation (RAG).
  • Experience with ElasticSearch or similar products.
  • Proficiency in prompt engineering.
  • Familiarity with LangChain and LlamaIndex.
  • Experience in Generative AI testing and evaluation.
  • Understanding of cloud deployment technologies.
  • Attention to code quality and design patterns.
  • 4+ years in information retrieval and search relevance.
  • Experience in SaaS product development is a plus.

Benefits

  • Market competitive salary and performance bonus.
  • Generously subsidized healthcare.
  • Employer matched retirement plan.
  • Wellness programs.
  • Generous PTO and parental leave.
  • Flexible, hybrid in-office model.

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