> Markdown version of [/jobs/ext/1452807-grafana-ai](https://www.wearedevelopers.com/jobs/ext/1452807-grafana-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Grafana AI - **Company:** Grafana Labs - **Location:** Redondo Beach, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $175,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Code Review, DevOps, Runbook, Software Engineering, Datadog, Google Cloud, Large Language Models, Grafana, Multi-Agent Systems, Prompt Engineering, Software Application Programming, Backend, Kubernetes, OPUS (Software), Terraform, GPT, Docker - **Published:** July 26, 2026 - **Apply:** https://www.workingnomads.com/job/go/1754175/ ## About the Role * Strong engineering skills: Solid experience building production software systems (backend and / or full stack). You're a self-starter, capable of tackling complex engineering problems with minimal supervision. * AI experience with a practical mindset: You're familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. * Quick iteration and experimentation: You're comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. * Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. * Collaborative attitude: You communicate effectively with peers, product managers, and designers. You're open to feedback, and you bring a solutions-oriented mindset to the table. Requirements: * 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. Bonus Points For: * 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. ## Description We're looking for an AI Software Engineer with a strong software engineering background, a quick iteration mindset, and a passion for experimentation - balanced by a focus on shipping and scaling impactful features that deliver value to users. You'll work closely with cross-functional teams to develop, test, and ship AI-powered features that contribute to improving infrastructure and observability quality through automation, while also expanding the capabilities of AI agents across the observability stack to assist users with incident response. As the team matures, there's a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: * Build and deliver AI solutions: Take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools. * Rapid experimentation and iteration: Implement a highly iterative process where you quickly prototype, test, and validate with real users, including shipping and evolving LLM- or agent-powered workflows for incident lifecycle management and automated analysis tasks. * Collaborate cross-functionally: Work with data analysts, product managers, and designers to shape AI-driven product features, including integration of agentic components with internal tools, alerting systems, runbooks, and developer workflows. * Utilize AI tools effectively: Use AI and automation tools to enhance both product functionality and your own development workflows. * Effective communication: You'll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. * Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups-always paired with strong code review and quality standards. You'll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro). ## Related Videos - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Building a Multi-Agent Orchestration Engine That Actually Follows the Rules](https://www.wearedevelopers.com/videos/100159-building-a-multi-agent-orchestration-engine-that-actually-follows-the-rules) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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