Staff AI Engineer - 2nd Horizon

📍 Germany
📍 Spain
📍 United Kingdom
📍 Ireland
📍 Sweden

GBP 100,000-124,000 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 @ 7 AWS @ 4 Azure @ 4 BI @ 4 Communication @ 6 Data Engineering @ 4 Databricks @ 4 Experimentation @ 7 GCP @ 4 GenAI Generative AI @ 4 Grafana @ 7 LLM Looker @ 4 Observability @ 4 Power BI @ 4 Slack Snowflake @ 4 Tableau @ 4

Details

Grafana Labs is seeking an AI Software Engineer with a strong software engineering background, a quick iteration mindset, and a passion for experimentation. The role involves designing, developing, testing, and shipping AI-powered features that work with large datasets and expand analytics-focused AI agents for information retrieval. The position is part of a highly autonomous skunkworks initiative focused on making Grafana a place where humans and AI agents can understand and act on enterprise data.

Responsibilities

Build and deliver high-performance AI features that help users discover, organize, and optimize access to large datasets.
Rapidly prototype, test, validate, ship, and evolve LLM- and agent-powered workflows for the data engineering lifecycle.
Shape AI-driven product features, including integrating agentic components 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.
Take full ownership of AI solutions, ensuring they are innovative, scalable, maintainable, and aligned 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.
Proven track record of delivering software that reached production and is actively used by users.
Familiarity with AI technologies and frameworks, with a practical focus on delivering high-quality real-world solutions.
Experience working in 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.

Bonus Points

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 and bonus, if applicable.
100% remote 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 a high-trust, empowered team culture.