Senior Engineer, Data & Analytics (m/w/d)

- AI & Application Engineering - Architect and deploy AI-powered systems into production (e.g., FastAPI apps with RAG architecture using OpenSearch and Langfuse) - Optimize agentic workflows, prompt & embedding pipelines, and retrieval quality through experimentation and tracing - Extend LLM capabilities with supervised fine-tuning (SFT) for in-domain data distributions where RAG alone underperforms - Data Engineering - Build scalable ingestion and transformation pipelines for both proprietary and external data (using Lambda, Glue, Terraform) - Own embedding pipelines for retrieval-augmented generation systems - Manage infrastructure-as-code for all core components (Redshift, S3, VPC, IAM, OpenSearch) - Analytics Engineering & BI - Maintain and evolve a clean, documented data model (dbt Cloud leverage Fusion) - Develop and maintain BI dashboards in QuickSight and/or Metabase - Provide ad-hoc analytical support for product, sales, and ops teams - Build event-driven automation and reverse ETL pipelines to serve data or AI outputs back into operational systems (e.g., HubSpot) - Leadership & Collaboration - Work closely with stakeholders across engineering, product, and operations to define the right data products and abstractions - Lay the foundation for a high-performing Data & AI team. Help hire, mentor, and establish best practices as we grow