Senior AI Engineer (AI & Automation)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior AI Engineer (AI & Automation): Own the AI agent infrastructure and automation platform for Marketing Operations, building multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. Focus on production-grade agentic systems, RAG data flows, observability/feedback loops, and governance for AI workflows with measurable operational efficiency.
Location: Canada (Remote)
Salary: CAD 164,490 - CAD 197,389
Company
builds Grafana Cloud, a managed observability platform, and related open-source infrastructure.
What you will do
- Develop and operate end-to-end multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operations.
- Build modular agentic systems using orchestration frameworks (e.g., LangChain, CrewAI, Anthropic MCP) and create reusable agent skills across Slack, dashboards, internal apps, and CLIs.
- Implement observability and feedback loops for AI workflows, including logging, performance metrics, prompt iteration, model evaluation, and cost management.
- Design and build backend integration services (MCP servers, APIs, CLIs, microservices) connecting LLMs to business systems and internal knowledge for RAG.
- Deliver automation workflows using orchestration tools (e.g., n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards.
- Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to identify high-leverage automation problems and ship solutions with measurable outcomes.
Requirements
- 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering.
- 2+ years hands-on experience applying LLMs/AI to production workflows (not only prototypes).
- Strong proficiency in Python and JavaScript/Node.js, with Git-based workflows, code review practices, and testing discipline.
- Hands-on experience with LLM frameworks and patterns: prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation.
- Experience building and operating multi-agent systems at scale, including orchestration patterns, state management, and production monitoring.
- Must be a Canada resident; residents of Quebec are not eligible.
Culture & Benefits
- 100% remote company with a global culture.
- Base compensation in Canada plus Restricted Stock Units (RSUs) for ownership.
- Global annual leave policy of 30 days per year, including Grafana Shutdown Days.
- In-person onboarding to help new hires ramp up.
- Developer productivity support with AI coding assistants within security guidelines.
Hiring process
- Interview process includes level/experience assessment and technical evaluation of AI/automation systems.
- Recruitment may use AI tools to help match CV information to job postings, with manual review by the team.
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