Senior RAG Engineer - Fully Remote (EU)

Newcode.ai

Stockholms kommun

On-site

SEK 768,000 - 1,207,000

Full time

14 days+
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Job summary

Newcode.ai is a fast-growing legal tech and agentic AI company transforming how legal work is done. We seek a Senior Backend Engineer to own the end-to-end retrieval pipeline, from document parsing to model integration, ensuring accurate citations and robust performance.

You will design search combining semantic and keyword techniques and build agentic retrieval with multi-step loops. You'll ship Python/FastAPI services at scale, manage background ingestion tasks, and uphold strict data

Qualifications

  • Five years of production backend experience, with retrieval or RAG systems.
  • Strong Python and FastAPI proficiency with production-grade services.
  • Experience with vector databases and search tooling for scalable retrieval.

Responsibilities

  • Own the end-to-end retrieval pipeline: parsing, chunking, embeddings, indexing, and keep it current.
  • Design hybrid semantic/keyword search using Qdrant and metadata filtering.
  • Build agentic retrieval with query decomposition, multi-step loops, and cost controls.
  • Develop evaluation layers with golden sets, metrics, and traceability for issues.
  • Ship dependable Python/FastAPI services; run ingestion/reindexing as background jobs.
  • Ensure data security and tenant isolation across clients.

Skills

Backend engineering
Python
FastAPI
Vector databases
PostgreSQL
Redis
Retrieval systems
AI tooling

Tools

Qdrant
FastAPI
PostgreSQL
Redis

Job description

Newcode.ai is a fast-growing legal tech and agentic AI company transforming how legal work is done. We seek a Senior Backend Engineer to own the end-to-end retrieval pipeline, from document parsing to model integration, ensuring accurate citations and robust performance.

You will design search combining semantic and keyword techniques and build agentic retrieval with multi-step loops. You'll ship Python/FastAPI services at scale, manage background ingestion tasks, and uphold strict data

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