Staff AI Engineer (GenAI)

TL;DR

Staff AI Engineer (GenAI): Developing AI-powered features and agents to enable business data analytics within the Grafana ecosystem with an accent on LLM integration and large dataset management. Focus on building scalable agentic workflows, rapid prototyping, and optimizing information retrieval for enterprise data.

Location: Must be based in Germany, Ireland, Sweden, Spain, or the UK

Salary: €109,000 - €137,000 (for Germany)

Company

hirify.global is the company behind the open observability cloud, founded on principles of open source, open standards, and open culture.

What you will do

• Develop high-performance AI features to help users discover, organize, and optimize access to large datasets.
• Prototype, test, and evolve LLM and agent-powered workflows for the data engineering lifecycle.
• Integrate agentic components with internal tools such as Slack and alerting systems.
• Take full ownership of AI solutions from design and testing to production scaling.
• Collaborate with cross-functional teams to shape AI-driven product features through rapid iteration.

Requirements

• Experience with LLMs, context engineering, and building applications powered by GenAI.
• Proven track record of delivering production-grade software actively used by customers.
• Exposure to cloud-native environments such as AWS, GCP, or Azure.
• Experience using observability tools to understand and troubleshoot system behavior.
• Must be based in Germany, Ireland, Sweden, Spain, or the UK.

Nice to have

• Experience building agent frameworks or multi-agent workflows.
• Experience as a data analyst or working with data platforms (e.g., Snowflake, DataBricks, Looker, Tableau).
• Experience building tools specifically for data engineering.

Culture & Benefits

• 100% remote work environment with a global, collaborative culture.
• Competitive compensation including equity and bonus opportunities.
• Global annual leave policy of 30 days, including company shutdown days.
• High degree of autonomy, trust, and transparent communication.
• In-person onboarding to accelerate integration with the team.