Staff AI Engineer - 2nd Horizon

📍 Germany
📍 Spain
📍 United Kingdom
📍 Ireland
📍 Sweden

EUR 117,000-147,000 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 @ 6 Azure @ 6 BI @ 4 Communication @ 6 Data Engineering @ 4 Databricks @ 4 Experimentation @ 7 GCP @ 6 GenAI Generative AI @ 4 Grafana @ 7 LLM Looker @ 4 Observability @ 4 Power BI @ 4 Slack Snowflake @ 4 Tableau @ 4

Details

Grafana Labs is looking for an AI Software Engineer with a strong software engineering background, a quick-iteration mindset, and a passion for experimentation. You will design, develop, test, and ship AI-powered features that work with large datasets and expand analytics-focused AI agents to assist users with information retrieval. The role is part of a highly autonomous skunkworks initiative focused on bringing general data analytics and AI-driven capabilities to 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 with real users, ship, and evolve LLM- and agent-powered workflows for the data engineering lifecycle.
Collaborate on AI-driven product features, including integrating agentic components with internal tools such as Slack and alerting systems.
Engage with internal data teams for dogfooding.
Use AI and automation tools to improve product functionality and development workflows.
Communicate effectively and contribute across teams in a dynamic, collaborative environment.
Take full ownership of AI solutions, ensuring they are innovative, scalable, maintainable, and aligned with real user workflows.

Requirements

Strong experience building production-grade, user-facing software systems.
Ability to tackle complex engineering problems and make UI design decisions with minimal supervision.
Experience with LLMs, context engineering, and building 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.
Ability to rapidly release prototypes, collect feedback, and iterate pragmatically.
Proven initiative, ownership, and ability to define scope and work through ambiguity.
Effective collaboration and communication skills.
Exposure to cloud-native environments such as AWS, GCP, or Azure.
Experience using observability tools to understand and troubleshoot system behavior.

Bonus Points

Experience building or working 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.
Career growth pathways.
In-person onboarding.
Global annual leave policy of 30 days per year, including three Grafana Shutdown Days, subject to local legislation.

Grafana Labs is an equal opportunities employer. The company may use AI tools in its recruitment process to assist with matching CV information to job postings, while the recruitment team continues to manually review applications.