Join a small, senior engineering team to design and implement application layers, business logic, and APIs that integrate AI agent frameworks with relational databases. Responsibilities include end-to-end feature delivery, agent and vector/RAG integration, multi-cloud and on-premises deployments, performance optimization, and ensuring multi-tenant data isolation and security. Requires 5+ years professional experience and production experience across at least two major public clouds.

Hands-on senior role responsible for designing and building analytical solutions from data extraction (BigQuery, MariaDB) to automated reporting. Develop and maintain data pipelines, tooling, and lightweight APIs (FastAPI); apply statistical and ML methods (regression, clustering, forecasting, A/B testing) at scale; leverage AI tools (Windsurf, Gemini, Claude, Cursor) and LLMs; own data architecture decisions. Requires 7+ years experience.

Hands-on senior role to design and build analytics and AI-augmented data solutions: author sophisticated SQL in BigQuery and MariaDB, develop pipelines and tooling in Python, use LLMs and AI assistants to accelerate work, and serve models/APIs (FastAPI). Responsible for data architecture, modeling, analysis (regression, clustering, time series, A/B testing), and communicating results to stakeholders. MariaDB does not sponsor work visas or relocation.

MariaDB is hiring a Senior Analytics AI Platform Engineer to design and build end-to-end analytical solutions, maintain data pipelines and tooling, and leverage AI-powered tools (LLMs, embeddings, generative AI) to accelerate analysis. The role requires expert-level SQL (BigQuery, MariaDB), strong Python/JavaScript skills, deep understanding of analytical methods and data architecture, and the ability to communicate findings to technical and business stakeholders. Location: remote (Bulgaria). MariaDB does not sponsor work visas or relocation. Salary range provided: 34,000–38,500 EUR per year (gross).