Senior AI Search Engineer — Hybrid, RAG & Vector

8am

United States

Hybrid

USD 72,000 - 103,000

Full time

3 days ago
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Benefits offered by this job

Performance bonus
Flexible time off
Paid sick leave
Parental leave
Coursera access
Career growth opportunities
Travel opportunities

Job summary

8am is seeking a Senior Engineer to design and build AI-powered features for our expanding suite of products. You will collaborate with product managers, data scientists, and engineers to deliver end-to-end AI-driven capabilities in production on a modern SaaS platform.

In this role you’ll own hybrid search architectures, combine keyword and vector retrieval, and advance RAG and LLM-based services. The position offers a hybrid setup with a path to leadership as we scale across Europe and the U.S.

Qualifications

  • 5+ years in professional software engineering, backend or search infra.
  • Experience building search/retrieval systems for large document stores.
  • Hands-on with search platforms like Elasticsearch / OpenSearch / Solr.
  • Experience with hybrid search (keyword + vector).
  • Strong Python development skills and data processing pipelines.

Responsibilities

  • Collaborate with product managers to translate problems into AI-powered search solutions.
  • Design and build hybrid search systems for large datasets.
  • Develop pipelines for document ingestion, embedding generation, and ranking.
  • Partner with Data team to optimize data for retrieval.
  • Implement AI-powered services combining LLMs with search infra.
  • Write high-quality Python code for search pipelines and evaluation.
  • Support deployment and monitoring of AI search services.

Skills

Backend systems
Search infra
Python
LLMs
RAG
AWS

Tools

Elasticsearch
OpenSearch
Solr
Pinecone
Weaviate
Milvus
FAISS
AWS

Job description

8am is seeking a Senior Engineer to design and build AI-powered features for our expanding suite of products. You will collaborate with product managers, data scientists, and engineers to deliver end-to-end AI-driven capabilities in production on a modern SaaS platform.

In this role you’ll own hybrid search architectures, combine keyword and vector retrieval, and advance RAG and LLM-based services. The position offers a hybrid setup with a path to leadership as we scale across Europe and the U.S.

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