Senior Software Engineer, Search Engineer – Elasticsearch, Vector Search

🔥 1 minute ago

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

📈 SEO Marketing

👻 Ghost score 12%

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Logo of Seeking Alpha

Seeking Alpha

201 - 500 employees

💼 Consulting

📣 Marketing

💸 Finance

💰 $7M Series B on 2009-12

Consulting • Marketing • Finance

Seeking Alpha is the world’s largest investing community, powered by the wisdom and diversity of crowdsourcing. It connects millions of investors to discover and share investment ideas, discuss breaking news, and make informed investment decisions. The platform features a wide range of investment research, including stocks, ETFs, commodities, and cryptocurrency, with contributions from over 7,000 authors publishing thousands of investing ideas monthly. Seeking Alpha also offers exclusive tools and subscription plans to enhance investing strategies and provide real-time insights to individual investors.

📋 Description

• Take ownership of the search infrastructure for Ask Seeking Alpha, a financial intelligence platform powered by LLMs • Build the Retrieval layer of the RAG architecture • Design and implement hybrid search strategies combining keyword matching and semantic search • Tune search relevance and build systems to measure and improve search-result quality using tools such as LangSmith • Integrate OpenAI embeddings into Elasticsearch • Index long documents such as earnings transcripts so the AI retrieves relevant sections • Optimize Elasticsearch queries and index settings for low latency and complex filtered queries • Develop and maintain Python services that build queries and process results using FastAPI and Asyncio

🎯 Requirements

• 5+ years of experience working with Search Engines in production • Understanding of Elasticsearch indices, analyzers, and mappings • Understanding of Lexical Search and Vector Search and when to use each • Strong experience with Python 3.10+ • Comfortable writing asynchronous code using async/await • Experience building APIs • Experience designing data schemas for search and efficient retrieval • Experience with Elasticsearch v8+ • Experience with Python, FastAPI, and Asyncio • Experience with OpenAI Embeddings and LangChain • Nice to have: Experience building RAG (Retrieval-Augmented Generation) pipelines • Nice to have: Familiarity with LangChain or similar LLM frameworks • Nice to have: Experience with evaluation tools such as LangSmith • Nice to have: Background in Finance, including tickers and earnings calls

🏖️ Benefits

• Remote work options • Ongoing learning and career advancement opportunities • Flexible, balanced work environment • Perks supporting personal well-being and professional goals

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