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Staff AI Engineer | US | Remote

Grafana LabsUnited States (Remote)Marketing
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
18 Jun 2026
Status
Open · checked 7d ago

About this role

The Staff AI Engineer position at Grafana Labs is a remote opportunity based in the United States, designed for experienced technical professionals who want to lead AI agent infrastructure within a global marketing operations team. This role suits senior software engineers with deep expertise in production-grade machine learning workflows and backend automation systems who thrive in high-autonomy environments.

Role Overview

Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers the Marketing Operations organization. In this position, the engineer builds multi-agent architectures, LLM integrations, and backend services that connect artificial intelligence models directly to internal and third-party data platforms. Operating with high autonomy, this individual identifies high-leverage challenges across Marketing, RevOps, and SDR teams, designs robust solutions, and ships production systems that internal teams rely on daily.

Key Responsibilities

Own end-to-end development of multi-agent AI systems, covering architecture, implementation, testing, deployment, and ongoing operation.
Build modular, composable agentic systems using orchestration frameworks like LangChain or CrewAI that operate continuously across various teams.
Develop reusable agentic skills invoked across multiple interfaces including Slack, dashboards, internal applications, and command line interfaces.
Implement observability and feedback loops encompassing logging, performance metrics, prompt iteration, model evaluation, and cost management.
Establish governance and compliance standards for AI workflows, including strict access controls, audit trails, personally identifiable information handling, and human-in-the-loop escalation paths.
Build server serverless or containerized services on Google Cloud Platform that scale dynamically with usage.
Partner directly with go-to-market systems, demand generation, and regional marketing teams to scope high-impact automation problems and eliminate manual work.

Requirements

Minimum of 8 years of professional software engineering experience with a strong focus on backend development, systems integration, or data and analytics engineering.
At least 2 years of hands-on experience applying large language models and artificial intelligence to production workflows rather than simple prototypes.
Strong proficiency in Python and JavaScript or Node.js utilizing Git-based workflows, thorough code review practices, and rigorous testing discipline.
Hands-on experience with LLM frameworks and patterns, including prompt engineering, retrieval-augmented generation, function calling, tool use, structured output parsing, and evaluation.
Direct experience building and operating multi-agent systems at scale, covering agent decomposition, orchestration patterns, state management, and production monitoring.
Deep familiarity with Google Cloud Platform, BigQuery, and serverless or containerized services like Cloud Functions and Cloud Run.
Strong understanding of LLM failure modes and production mitigations, such as confidence thresholds, fallback logic, and cost or latency management.

Nice to Have

Experience working with vector databases or retrieval pipelines like Pinecone, Weaviate, ChromaDB, Qdrant, or pgvector.
Familiarity with marketing or sales platforms such as Salesforce, Customer.io, HubSpot, Marketo, or Outreach.
Experience utilizing frontend frameworks like React or Slack Block Kit to build user-facing artificial intelligence tool interfaces.
Background with observability tooling for artificial intelligence systems including LangSmith, Weights & Biases, or custom evaluation frameworks.
Experience with workflow orchestration platforms like n8n, Temporal, Prefect, or Airflow.
Familiarity with the Model Context Protocol or similar standards linking artificial intelligence systems to data sources.
Previous work automating marketing, sales, or customer success workflows within a business-to-business software-as-a-service environment.

Skills and Tools

Python
JavaScript
Node.js
Google Cloud Platform
BigQuery
Cloud Functions
Cloud Run
React
LangChain
Retrieval-Augmented Generation
Model Context Protocol
Airflow
Git

Salary and Benefits

Base compensation range in the United States spans from USD $154,445 to USD $185,334.
Restricted Stock Units provided to grant team members ownership in company success.
Global annual leave policy of 30 days per annum, which includes 3 reserved Grafana Shutdown Days.
100% remote work environment with a collaborative global culture and in-person onboarding.

About the Company

Grafana Labs is the creator of Grafana Cloud, a fully managed observability platform trusted by more than 10,000 organizations worldwide to ensure system reliability and resolve incidents quickly. Customers include industry leaders such as Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce. Operating as a 100% remote company with team members spread across over 40 countries, Grafana Labs is backed by prominent investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. The organization stays true to its open-source legacy, maintaining a global collaborative culture grounded in transparency, autonomy, and trust.

How to Apply

Candidates should visit the official Grafana Labs careers page to submit their application for this remote position.

Skills and tech stack

PythonGCPReactNode.jsJavaScriptLLMLangChainRAGAirflow

Questions candidates ask

Is this job fully remote?

Yes, this is a 100% remote position specifically looking for candidates residing within the United States.

What is the salary range for the Staff AI Engineer role?

The base compensation range in the U.S. is between USD $154,445 and USD $185,334, with actual compensation varying based on experience, level, and skillset.

What level of experience is required?

Applicants need 8+ years of software engineering experience with depth in backend development, systems integration, or data engineering, plus at least 2 years of hands-on experience applying LLMs to production workflows.

What core technologies and programming languages will I use?

The role requires strong proficiency in Python and JavaScript or Node.js, along with experience using Google Cloud Platform, BigQuery, serverless services, and LLM frameworks like LangChain.

What benefits are included besides base salary?

All roles include Restricted Stock Units for company ownership, a global annual leave policy of 30 days per year, and remote work flexibility.

Ready to apply?

The application is on the official Grafana Labs careers page.

Apply on company site