Remote AI Software Engineer: Build Scalable AI Features

United States Digital Space LLC; United States; A distancia; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

Grafana Labs is seeking an AI Software Engineer to build AI-powered features that manage large datasets and expand analytics-driven agents. The role demands a strong software engineering background, rapid iteration, and a passion for experimentation while shipping scalable solutions for users.

The team operates in a highly autonomous, remote environment with cross-functional collaboration, and opportunities to redefine the role based on impact and initiative.

Formación

• Experience with LLMs, context engineering, and building GenAI-powered applications.
• Proven track record of delivering software that goes into production and is actively used by users.
• Exposure to working in cloud-native environments (AWS, GCP, Azure).
• Experience using observability tools to understand and troubleshoot system behavior.

Responsabilidades

• Build and deliver AI solutions: develop high-performance AI features to help users access large datasets.
• Rapid experimentation and iteration: prototype, test, and validate with real users, shipping LLm/agent workflows.
• Collaborate: shape AI-driven product features and integrate agentic components with internal tools.
• Utilize AI tools effectively: enhance product functionality and development workflows.
• Ownership and impact: ensure solutions are scalable, maintainable, and align with user workflows.

Conocimientos

LLMs experience

Context engineering

GenAI integration

Production-grade software

Cloud-native environments

Herramientas

AWS

GCP

Azure

Descripción del empleo

Grafana Labs is seeking an AI Software Engineer to build AI-powered features that manage large datasets and expand analytics-driven agents. The role demands a strong software engineering background, rapid iteration, and a passion for experimentation while shipping scalable solutions for users.

The team operates in a highly autonomous, remote environment with cross-functional collaboration, and opportunities to redefine the role based on impact and initiative.