funnel
AI

AI Engineer - Internal Data Insights

funnel · Stockholm, AB, SE

Actively hiring Posted 3 months ago

Responsibilities

  • Expand and strengthen our existing Amazon-based data and AI stack (built on top of Athena and Bedrock)
  • Integrate and plug in new internal and external data sources
  • Build applications and services (batch and event-driven) on top of enriched datasets
  • Create intelligent, proactive signals from the data layer that trigger actions across the organization
  • Event-based jobs
  • Signal detection pipelines
  • AI-powered enrichment services
  • Automated outbound insights
  • Hold Swedish citizenship
  • Hold EU/EEA citizenship and are currently living in Stockholm
  • Have a valid Swedish work permit

Preferred qualifications

  • Experience building machine learning models
  • Cloud infrastructure experience (especially AWS)
  • Infrastructure-as-code experience (e.g., Terraform)

About the company

  • Develops and maintains the internal data stack
  • Develops a semantic and agentic AI layer that exposes the data and insights outwards for consumption by teams within Funnel (GTM, commercial, support etc)
  • Builds reusable services and plugins
  • Ensures scalable architecture instead of fragmented initiatives
  • Hands-on experience using Large Language Models in real applications
  • Hands-on experience with AI agents and frameworks (Claude Code, Codex, Strands)
  • Understanding of how to integrate AI into data workflows (e.g. agentic RAG systems, chatbots, event-driven agents)
  • Understanding of modern agentic patterns - MCP, skills, harness engineering, progressive disclosure, wiggum loops, etc
  • Production-level experience building backend services
  • Comfort structuring systems and writing clean, maintainable code
  • Ability to deploy and manage services
  • Deep comfort querying and manipulating data
  • Experience working with structured datasets and building tables/models
  • Ability to interrogate complex systems with a logical mindset

Tags & focus areas

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