Staff Backend Engineer - AI-Native Context (Remote)

Neura Market

United States

Remote

USD 174,986 - 209,983

Full time

14 days+

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Benefits offered by this job

100% Remote
Global culture
Equity
Bonus

Job summary

Grafana Labs is seeking a Staff-level Backend Engineer to build the first production services for an AI-native data intelligence system. This remote role supports candidates from the U.S.

or Canada, with Quebec residents ineligible, and offers a base compensation range of $174,986 to $209,983 in the United States. You will design and ship core backend architecture powering ingestion, context storage, and agent-facing integrations, operating in an early-stage, high-autonomy environment that

Qualifications

  • Experience shipping production-grade software systems.
  • Experience with large language models and GenAI.
  • Ability to operate in an autonomous, high-ambiguity environment.

Responsibilities

  • Build core backend services for context ingestion and retrieval.
  • Define scalable multi-tenant SaaS architecture.
  • Develop APIs for agent-facing retrieval workflows.
  • Collaborate across product and infra teams.
  • Instrument services with metrics, logs, traces, and alerts.
  • Contribute to technical direction and deployment patterns.
  • Communicate effectively in a dynamic, cross-team environment.
  • Own AI solutions end-to-end.

Skills

Backend systems design
Production-grade software
LLMs and GenAI
Cloud platforms
Observability

Education

BS in Computer Science

Tools

AWS
GCP
Azure

Job description

Grafana Labs is seeking a Staff-level Backend Engineer to build the first production services for an AI-native data intelligence system. This remote role supports candidates from the U.S.

or Canada, with Quebec residents ineligible, and offers a base compensation range of $174,986 to $209,983 in the United States. You will design and ship core backend architecture powering ingestion, context storage, and agent-facing integrations, operating in an early-stage, high-autonomy environment that

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