AI Infrastructure Engineer — Remote, Scale LLMs

LUMIQO

United States

Remote

USD 96,000 - 179,000

Full time

7 days ago
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Job summary

Lumiqo is a clinical AI startup seeking a Software Engineer focused on infrastructure to join our technical team and help scale our AI capabilities in oncology trials. You will work remotely with a strong emphasis on infrastructure and developer experience.

As part of the role, you will architect the stack, ship production code for LLM-based features, and operate inference and serving systems with cost-efficient compute. Remote work, with a May 2026 start window.

Qualifications

  • Hands-on experience leading the design, deployment, or scaling of production AI infrastructure.
  • 3+ years shipping production AI or infrastructure systems.
  • Strong programming fundamentals.
  • Production experience with RAG architectures and vector databases.
  • Ability to navigate ambiguous problems and drive cross-functional resolution.

Responsibilities

  • Architect and connect the underlying technology stack that powers our AI capabilities end-to-end.
  • Ship production code that powers our LLM-based AI capabilities.
  • Build and operate the inference and serving infrastructure for our AI system.
  • Set up model deployment, autoscaling, and cost-efficient compute.
  • Set technical direction for how Lumiqo operates AI infrastructure as we scale.

Skills

AI infrastructure
Platform engineering
Production deployment
LLM expertise
Cross-functional collaboration

Tools

Databricks
AWS Bedrock
GCP Vertex AI
Azure ML
Vector databases

Job description

Lumiqo is a clinical AI startup seeking a Software Engineer focused on infrastructure to join our technical team and help scale our AI capabilities in oncology trials. You will work remotely with a strong emphasis on infrastructure and developer experience.

As part of the role, you will architect the stack, ship production code for LLM-based features, and operate inference and serving systems with cost-efficient compute. Remote work, with a May 2026 start window.

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