TL;DR

Senior AI Engineer (Grafana Ops, AI/ML): Developing high-performance AI features for incident detection, triage, and resolution using observability data and tools with an accent on automation and improving infrastructure/observability quality. Focus on prototyping and iterating quickly with real users, and integrating agentic components with internal tools.

Location: This is a remote opportunity and we would be interested in applicants from USA time zones only at this time.

Salary: USD 154,445 - USD 185,334

Company

%hirify_global% is a remote-first, open-source powerhouse providing observability tools used by more than 20M users around the globe.

What you will do

Build and deliver AI solutions to help users detect, triage, and resolve incidents using observability data and tools.
Implement a highly iterative process where you quickly prototype, test, and validate with real users.
Collaborate cross-functionally with data analysts, product managers, and designers to shape AI-driven product features.
Use AI and automation tools to enhance both product functionality and your own development workflows.
Communicate effectively and contribute across teams in a highly dynamic and collaborative environment.
Take full ownership of the AI solutions you develop, ensuring they are innovative, scalable, and maintainable.

Requirements

Strong engineering skills with experience building production software systems (backend and / or full stack).
Familiarity with AI technologies and frameworks, with a focus on delivering high-quality solutions.
Comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative to take ownership and drive projects forward, dealing with ambiguity and defining scope.
Collaborative attitude with effective communication skills, open to feedback and solutions-oriented.
Experience with LLMs, prompt 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.

Nice to have

Experience building or working with agent frameworks or multi‑agent workflows.
Experience with infrastructure / devops related tooling: Kubernetes, Docker, Terraform or similar for deployments.
Familiarity with model fine-tuning techniques.
Experience building observability tooling.

Culture & Benefits

100% Remote, Global Culture bringing together talent from around the world.
Tackle meaningful work in a high-growth, ever-evolving organization.
Expect open decision-making and regular company-wide updates.
Autonomy and support to ship great work and try new things.
High trust, low ego culture that values outcomes over optics.
Operate a global annual leave policy of 30 days per annum with 3 days reserved for Grafana Shutdown Days.