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Seeking Alpha

Founded in 2005, Seeking Alpha is an industry-leading financial research platform powered by one of the world’s largest investing communities. We bridge the gap between financial information and actionable insight by providing unrivaled coverage on all asset classes and access to best-in-class tools. From in-depth analysis on thousands of stocks to timely investment ideas and market-beating Quant ratings, Seeking Alpha is an essential resource for millions of investors globally. Any content and tools on the Seeking Alpha platform are offered for information purposes only. Seeking Alpha does not take account of individuals' objectives or financial situation and does not offer any personalized investment advice. Seeking Alpha is not a licensed securities dealer, broker or US investment adviser or investment bank

Senior Software Engineer / Search Engineer (Elasticsearch & Vector Search)

Software EngineerSoftware EngineerFull TimeRemoteSeniorTeam 914Since 2005

Location

Israel

Posted

15 hours ago

Salary

0

Seniority

Senior

Job Description

Senior Software Engineer / Search Engineer (Elasticsearch & Vector Search)

Seeking Alpha

Role Description You will take ownership of the search infrastructure for Ask Seeking Alpha — a financial intelligence platform powered by LLMs. Your main goal is to ensure our AI agents can find the exact financial data they need (articles, transcripts, news) in milliseconds. You will work on the Retrieval layer of our RAG architecture, combining traditional text search with modern vector search techniques. Tech Stack: - Elasticsearch (v8+) - Python (FastAPI, Asyncio) - OpenAI Embeddings - LangChain - LangSmith What You'll Do: - Search Engine Development: Design and implement Hybrid Search strategies. You will figure out how to best combine "keyword matching" (finding specific tickers like 'AAPL') with "semantic search" (finding concepts like 'revenue growth'). - Relevance Tuning: You are responsible for the quality of search results. You will build systems to measure and improve how well the search engine answers user queries (using tools like LangSmith). - Vector Search & RAG: Manage the integration of OpenAI embeddings into Elasticsearch. You will solve challenges related to indexing long documents (e.g., earnings transcripts) so the AI retrieves only the most relevant parts. - Performance Optimization: Optimize Elasticsearch queries and index settings to ensure low latency, even for complex queries with many filters. - Python Backend: Develop and maintain the Python services that build queries and process results. We use FastAPI and Asyncio heavily. Qualifications - 5+ years of experience working with Search Engines in production. - Strong experience with Python 3.10+. - Experience designing data schemas for search. Requirements - Elasticsearch Expert: You understand how indices, analyzers, and mappings work "under the hood." - Search Theory: You understand the difference between Lexical Search (keywords) and Vector Search (meaning), and know when to use which. - Python Proficiency: You are comfortable writing asynchronous code (async/await) and building APIs. Benefits - Flexible, balanced environment with remote work options. - Ongoing learning and career advancement opportunities. - Support for personal well-being and professional goals.

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