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    Home/Jobs/Senior AI Engineer

    Senior AI Engineer

    Grafana Labs

    Remote / United States / USA
    5-8 years
    Today
    ₹25–44 LPA
    Full-time
    Remote

    Skills Required

    LLM
    Prompt Engineering
    Gen AI
    Fine-tuning
    agent frameworks
    multi-agent workflows
    observability tooling
    cloud-native environments
    AWS
    GCP
    Azure
    Kubernetes
    Docker
    Terraform
    software engineering

    Description

    Grafana Labs is seeking a Senior AI Engineer to develop AI-driven observability tools that help users detect, triage, and resolve incidents. This remote role focuses on building scalable AI features and collaborating cross-functionally to improve infrastructure and observability quality.

    Company: Grafana Labs

    Role: Senior AI Engineer

    Location: United States (Remote)

    Experience:

    • 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
    • Strong engineering skills building production software systems (backend and/or full stack)

    Key Skills:

    • AI technologies and frameworks
    • LLMs
    • Prompt engineering
    • GenAI
    • Cloud-native environments
    • AWS
    • GCP
    • Azure
    • Observability tools
    • Agent frameworks
    • Multi-agent workflows
    • Kubernetes
    • Docker
    • Terraform
    • Model fine-tuning techniques
    • Observability tooling

    Role Focus:

    • Build and deliver high-performance AI features for incident detection, triage, and resolution
    • Rapid experimentation and iteration with prototyping, testing, and validating with real users
    • Collaborate with data analysts, product managers, and designers to shape AI-driven product features
    • Integrate agentic components with internal tools, alerting systems, runbooks, and developer workflows
    • Use AI and automation tools to enhance product functionality and development workflows
    • Take full ownership of AI solutions ensuring scalability, maintainability, and alignment with user workflows
    • Communicate effectively in a dynamic and collaborative environment

    Additional responsibilities:

    • Operate with a high degree of autonomy and ownership
    • Use modern AI coding assistants with company-funded usage budget
    • Encourage pragmatic AI-assisted development including faster prototyping, test generation, refactors, documentation, and incident follow-ups
    • Work in a highly collaborative culture valuing curiosity, feedback, and cross-functional partnership
    • Deal with ambiguity and define scope where loosely defined
    • Contribute to a global collaborative culture with transparency, autonomy, and trust

    Nice to have:

    • Experience building or working with agent frameworks or multi-agent workflows
    • Experience with infrastructure/devops tooling such as Kubernetes, Docker, Terraform
    • Familiarity with model fine-tuning techniques
    • Experience building observability tooling

    Other:

    • 100% remote company with 1,600+ team members across 40+ countries
    • Base compensation range USD 127,651 - USD 203,867 in the United States
    • Benefits include equity, bonus (if applicable), and other benefits
    • All roles include Restricted Stock Units (RSUs)
    • Company culture emphasizes open source legacy, global collaboration, transparency, autonomy, and trust
    • In-person onboarding to integrate new hires
    • Global annual leave policy of 30 days per annum with 3 days reserved for Grafana Shutdown Days
    • Equal opportunity employer committed to diversity and inclusion
    • Use of AI tools in recruitment process to assist in matching CVs to job postings

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

    Introduction to Generative AI

    Coursera

    Google Cloud introduction covering Gen AI concepts, model types, and Google AI tools.

    Large Language Models: Application through Production

    edX

    Production-focused LLM course covering deployment, monitoring, and scaling.

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