Staff AI Engineer - 2nd Horizon

📍 Germany
📍 Spain
📍 United Kingdom
📍 Ireland
📍 Sweden

SEK 878,000-1,100,000 per year

SENIOR

✅ Remote

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 AWS @ 6 Azure @ 6 BI @ 4 Communication @ 6 Data Engineering @ 4 Databricks @ 4 GCP @ 6 GenAI Generative AI @ 4 Grafana LLM Looker @ 4 Observability @ 4 Power BI @ 4 Slack Snowflake @ 4 Tableau @ 4

Details

Grafana Labs is seeking an AI Software Engineer to build and scale AI-powered features for observability, general data analytics, product analytics, and sales data use cases. The role is part of the autonomous 2nd Horizon skunkworks initiative, focused on helping humans and AI agents understand and act on enterprise data.

This is a remote position. Candidates are being considered only in Germany, Ireland, Sweden, Spain, and the UK.

Responsibilities

Build and deliver high-performance AI features that help users discover, organize, and optimize access to large datasets.
Prototype, test, validate, ship, and evolve LLM- and agent-powered workflows for the data engineering lifecycle.
Develop AI-driven product features, including agentic integrations with internal tools such as Slack and alerting systems.
Engage with internal data teams for dogfooding and user feedback.
Use AI and automation tools to improve product functionality and development workflows.
Design, develop, test, and ship scalable and maintainable AI-powered solutions.
Take ownership of solutions and ensure they align with real user workflows.
Communicate effectively and contribute across teams in a dynamic, collaborative environment.

Requirements

Strong experience building production-grade, user-facing software systems.
Experience with LLMs, context engineering, and applications powered by generative AI.
A proven track record of delivering software that reached production and is actively used by users.
Exposure to cloud-native environments such as AWS, GCP, or Azure.
Experience using observability tools to understand and troubleshoot system behavior.
Ability to work independently, handle ambiguity, define scope, and drive projects forward.
Effective communication skills and a collaborative, solutions-oriented mindset.
Familiarity with AI technologies and frameworks, with a practical focus on delivering reliable solutions.

Bonus Skills

Experience with agent frameworks or multi-agent workflows.
Experience as a data analyst or working with data platforms such as Looker, Tableau, Power BI, Snowflake, or Databricks.
Experience building tools for data engineering.

Benefits

Equity, bonus where applicable, and other benefits.
100% remote work and a global culture.
In-person onboarding.
30 days of annual leave per year, including three Grafana Shutdown Days, subject to local legislation.
Career growth opportunities and an innovation-driven, high-trust environment.