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Backend Engineer

Anadea
format:Remote
pythondata pipelinessaasdistributed systemskubernetes
goscalallmragknowledge graphsvector databasesneo4j
semantic dedup

Reposted 2× across DOU + Djinni — deduped to one listing.

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experience7+ years
domainAI
> full description

About Us

We are a deep-tech company building state-of-the-art LLM-based assistants augmented with knowledge graphs. We are seeking a Senior Backend Python Engineer (7+ years of experience) to design and scale the backend infrastructure powering our AI platform.

Key Responsibilities

  • Architect and implement scalable backend services and multi-tenant SaaS systems.
  • Design and operate high-throughput data pipelines (both batch and streaming).
  • Build APIs and services integrating LLM inference, retrieval systems, and knowledge graphs.
  • Productionize research-grade AI systems into reliable, production-ready distributed systems.

Core Requirements (Must Have)

  • Experience: 7+ years of hands-on backend engineering experience.
  • Architecture & Data: Strong background in building high-throughput data pipelines and multi-tenant SaaS architectures.
  • Programming: Deep proficiency in Python.
  • Distributed Systems: Strong understanding of distributed systems and cloud-native environments.
  • Kubernetes: Hands-on experience in the architecture, development, and deployment of Kubernetes-based systems.

Nice to Have

  • Languages: Experience with Go and/or Scala.
  • AI/LLM Ecosystem: Practical experience with LLM systems (RAG, model serving, evaluation).
  • Graph & Vector Databases: Experience working with knowledge graphs, vector databases (e.g., Neo4j), or hybrid retrieval architectures.
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