Remote AI Software Engineer for Observability & Data

Grafana Labs; Town of Sweden (NY); Remote; USD 90,873 - 113,850; Full time

Job summary

Grafana Labs, the open observability company, is seeking an AI Software Engineer for a remote role. You will design, develop, and ship AI-powered features for large datasets, with a focus on scalable, production-grade systems.

You’ll work in a skunkworks-like setup, balancing experimentation with reliable delivery across cloud-native environments. You’ll collaborate with data teams and internal tools, expanding agent-driven workflows and data analytics capabilities, while contributing to

Qualifications

• . Experience with LLMs, context engineering, and GenAI-powered apps.
• . Production-grade software experience delivering user-facing features.
• . Experience in cloud-native environments (AWS, GCP, Azure).
• . Familiarity with observability tools to troubleshoot behavior.

Responsibilities

• Build AI-powered features that handle large datasets and scale.
• Prototype, test, and ship AI-driven workflows including agent-powered capabilities.
• Collaborate with teams to integrate AI components with internal tools and data platforms.
• Use AI tools to enhance product functionality and developer workflows.
• Communicate effectively in a dynamic, cross-functional environment.
• Own the AI solutions from design to maintainable production.

Skills

LLMs

Context engineering

GenAI

Production software

Cloud platforms

Observability tools

Agent frameworks

Tools

AWS

GCP

Azure

Looker

Tableau

PowerBI

Snowflake

DataBricks

Job description

Grafana Labs, the open observability company, is seeking an AI Software Engineer for a remote role. You will design, develop, and ship AI-powered features for large datasets, with a focus on scalable, production-grade systems.

You’ll work in a skunkworks-like setup, balancing experimentation with reliable delivery across cloud-native environments. You’ll collaborate with data teams and internal tools, expanding agent-driven workflows and data analytics capabilities, while contributing to