AI Engineer - Internal Data Insights
Actively Hiring
Full-time Posted 5 months ago
Responsibilities
- check_circle Expand and strengthen our existing Amazon-based data and AI stack (built on top of Athena and Bedrock)
- check_circle Integrate and plug in new internal and external data sources
- check_circle Build applications and services (batch and event-driven) on top of enriched datasets
- check_circle Create intelligent, proactive signals from the data layer that trigger actions across the organization
- check_circle Event-based jobs
- check_circle Signal detection pipelines
- check_circle AI-powered enrichment services
- check_circle Automated outbound insights
- check_circle Hold Swedish citizenship
- check_circle Hold EU/EEA citizenship and are currently living in Stockholm
- check_circle 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
- check_circle Develops and maintains the internal data stack
- check_circle Develops a semantic and agentic AI layer that exposes the data and insights outwards for consumption by teams within Funnel (GTM, commercial, support etc)
- check_circle Builds reusable services and plugins
- check_circle Ensures scalable architecture instead of fragmented initiatives
- check_circle Hands-on experience using Large Language Models in real applications
- check_circle Hands-on experience with AI agents and frameworks (Claude Code, Codex, Strands)
- check_circle Understanding of how to integrate AI into data workflows (e.g. agentic RAG systems, chatbots, event-driven agents)
- check_circle Understanding of modern agentic patterns - MCP, skills, harness engineering, progressive disclosure, wiggum loops, etc
- check_circle Production-level experience building backend services
- check_circle Comfort structuring systems and writing clean, maintainable code
- check_circle Ability to deploy and manage services
- check_circle Deep comfort querying and manipulating data
- check_circle Experience working with structured datasets and building tables/models
- check_circle Ability to interrogate complex systems with a logical mindset
Tags & Focus Areas
Remote Ai Ai Engineer