RemoteLeaf Logo
Log in Sign up

Senior AI Engineer | US | Remote

3 months, 3 weeks ago
United States
Full-time
Senior
AI Engineer
Software Development
Apache Airflow CI/CD GCP HubSpot JavaScript Microservices Node.js Prefect Python React Salesforce Serverless
Apply Now
Grafana

Grafana

Grafana is the open observability platform providing analytics, monitoring, and visualization solutions with a focus on user control and cost efficiency.

IT Services
1K-5K
Founded 2014
$535M raised
View All Jobs 21

Description

  • Own the end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation.
  • Build modular agentic systems using orchestration frameworks such as LangChain, CrewAI, Anthropic MCP, or similar.
  • Develop reusable agent skills that work across interfaces including Slack, dashboards, internal apps, and CLIs.
  • Implement observability, feedback loops, prompt iteration, model evaluation, and cost management for AI workflows.
  • Establish governance and compliance standards for AI workflows, including access controls, audit trails, PII handling, and human-in-the-loop escalation.
  • Build MCP servers, APIs, CLIs, and microservices that connect AI models to internal and third-party business systems.
  • Architect data flows for retrieval-augmented generation that connect LLMs to internal knowledge bases, customer data, and real-time business context.
  • Build serverless or containerized services on GCP that scale with usage and integrate with Grafana's cloud infrastructure.
  • Partner with Marketing Operations, RevOps, Demand Generation, Regional Marketing, and SDR teams to identify automation opportunities and deliver measurable outcomes.
  • Design self-service automation workflows with documentation, playbooks, and enablement materials so partner teams can operate independently.

Requirements

  • 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering.
  • 2+ years of hands-on experience applying LLMs or AI to production workflows.
  • Strong proficiency in Python and JavaScript/Node.js, with Git-based workflows, code review practices, and testing discipline.
  • Hands-on experience with LLM patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation.
  • Experience building and operating multi-agent systems at scale, including agent decomposition, orchestration patterns, state management, and production monitoring.
  • Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services such as Cloud Functions and Cloud Run.
  • Understanding of LLM failure modes and production mitigations such as confidence thresholds, fallback logic, human escalation, and cost/latency management.
  • Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction.
  • Fluency with AI-assisted development tools such as GitHub Copilot, Cursor, and Claude Code.
  • Clear technical communication skills for explaining complex systems to engineers and business stakeholders.
  • Experience with vector databases or retrieval pipelines such as Pinecone, Weaviate, ChromaDB, Qdrant, or pgvector (bonus).
  • Familiarity with marketing or sales platforms such as Salesforce, Customer.io, HubSpot, Marketo, or Outreach (bonus).
  • Experience with frontend frameworks such as React or Slack Block Kit for user-facing AI interfaces (bonus).
  • Experience with observability tooling for AI systems such as LangSmith, Weights & Biases, or custom evaluation frameworks (bonus).
  • Experience with workflow orchestration platforms such as n8n, Temporal, Prefect, or Airflow (bonus).
  • Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources (bonus).
  • Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment (bonus).
  • Active participation in open-source communities (bonus).

Benefits

  • Base compensation range in the United States of USD $154,445 to USD $185,334.
  • All roles include Restricted Stock Units (RSUs).
  • 100% remote work with a global team across 40+ countries.
  • Global annual leave policy of 30 days per year.
  • 3 days of annual leave reserved for Grafana Shutdown Days.
  • In-person onboarding to help new hires get started successfully.
  • Career growth pathways and development opportunities.
  • Transparent, high-trust, low-ego culture with open communication.

Interested in this position?

Apply directly on the company website

Apply Now

Similar Roles

Lingaro

Fullstack Data Scientist - freelancer

Lingaro 5K-10K IT Services

Lead GenAI engineering initiatives by designing, building, evaluating, and governing production-ready AI applications and architectures for enterprise use cases.

Poland Freelance Senior AI Engineer Data Scientist
Apache Spark AWS Azure CI/CD Databricks Docker Generative AI GitHub Actions GitLab Kubernetes Machine Learning Microservices Python
2 hours, 38 minutes ago
CI&T

[Job-00023] Senior AI Engineer, Brazil

CI&T 5K-10K Internet Software & Services

CI&T is seeking a Senior AI Engineer to build reliable AI-powered information extraction solutions and enhance a web application using LLMs, document intelligence, and full-stack engineering.

Brazil Full-time Senior AI Engineer Full-stack Engineer
Next.js Python React
2 hours, 38 minutes ago
CI&T

[Job 32221] SR. AI Engineer -Foco em Criação e Orquestração de Agentes (Agentic SDLC)

CI&T 5K-10K Internet Software & Services

A CI&T busca um(a) Software Engineer Mid-Senior para arquitetar, construir e entregar soluções de software para clientes, usando agentic SDLC e IA aplicada da arquitetura ao código em produção.

Brazil Full-time Senior AI Engineer
CI/CD Microservices NestJS Node.js TypeScript
2 hours, 53 minutes ago
CareDx

Senior Data & AI Engineer

CareDx 251-1K Pharmaceuticals

CareDx is seeking a Senior Data and AI Engineer to build production data engineering and clinical NLP solutions that convert structured and unstructured EMR data into standardized, reliable transplant-focused clinical data for patient care, research, and business operations.

United States Full-time Senior AI Engineer
$126k-$158k
CI/CD Deep Learning Git HIPAA Machine Learning NLP Pandas Python PyTorch SQL TensorFlow
3 hours, 23 minutes ago

You're on a roll! Sign up now to keep applying.

Sign Up

Already have an account? Log in

Used by 14,729+ remote workers