Staff AI Engineer

Grafana Labs

AI Software Engineer developing high-performance AI solutions at Grafana Labs. Collaborating with teams to enhance product features and optimize data access.

Posted 7/16/2026full-timeRemote • 🇬🇧 United KingdomLead💰 £100,000 - £124,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing AI solutions, particularly with LLMs and GenAI, while effectively collaborating across teams to enhance product functionality and user experience. Proven ability to take ownership of scalable and maintainable software solutions in cloud-native environments.

Highest-signal resume keywords

LLM DevelopmentGenAI Application BuildingCloud-Native EnvironmentsObservability ToolsEffective Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Solutions DevelopmentContext EngineeringSoftware DeliveryPrototypingTestingValidationAutomation ToolsData Engineering Lifecycle

Soft Skills

CollaborationEffective CommunicationOwnership

Tools & Technologies

AWSGCPAzureSlackAlerting Systems

Industry Keywords

AI FeaturesUser WorkflowsRapid ExperimentationIterative Process

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.
Rapid experimentation and iteration: Implement a highly iterative process where you quickly prototype, test, and validate with real users, including shipping and evolving LLM- or agent-powered workflows for the data engineering lifecycle.
Collaborate: Work with the rest of the team to shape AI-driven product features, including the integration of agentic components with internal tools like Slack and alerting systems while engaging with internal data teams for dogfooding.
Utilize AI tools effectively: Use AI and automation tools to enhance both product functionality and your own development workflows.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.

Requirements

What you’ll need

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

Benefits

Comp & perks

equity
bonus (if applicable)
global annual leave policy of 30 days per annum
3 days of annual leave reserved for Grafana Shutdown Days