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

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.