Senior Software Engineer, Search Engineer – Elasticsearch, Vector Search

Posted 1 day ago

This is a fully remote position, open to applicants in Poland.

📋 Description

• Assume responsibility for the search infrastructure of Ask Seeking Alpha, a financial intelligence platform driven by LLMs.

• Construct the Retrieval layer of the RAG architecture.

• Create and execute hybrid search strategies that merge keyword matching with semantic search.

• Optimize search relevance and develop systems to assess and enhance the quality of search results utilizing tools such as LangSmith.

• Incorporate OpenAI embeddings into Elasticsearch.

• Index extensive documents like earnings transcripts to enable the AI to extract relevant sections.

• Refine Elasticsearch queries and index configurations for low latency and intricate filtered queries.

• Design and maintain Python services that generate queries and manage results using FastAPI and Asyncio.


⛳️ Requirements

• Over 5 years of experience utilizing Search Engines in a production environment.

• Proficient understanding of Elasticsearch indices, analyzers, and mappings.

• Knowledge of Lexical Search and Vector Search, including their appropriate applications.

• Extensive experience with Python 3.10 or higher.

• Skilled in writing asynchronous code using async/await.

• Experience in developing APIs.

• Competence in designing data schemas for search and efficient retrieval.

• Familiarity with Elasticsearch version 8 or higher.

• Proficient in Python, FastAPI, and Asyncio.

• Experience with OpenAI Embeddings and LangChain.

• Preferred: Experience in building RAG (Retrieval-Augmented Generation) pipelines.

• Preferred: Knowledge of LangChain or similar LLM frameworks.

• Preferred: Experience with evaluation tools such as LangSmith.

• Preferred: Background in Finance, including familiarity with tickers and earnings calls.


🏝️ Benefits

• Options for remote work.

• Opportunities for continuous learning and career progression.

• A flexible and balanced work environment.

• Benefits that support personal well-being and professional aspirations.

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