We're looking for a skilled Data Engineer who excels in building scalable data pipelines, optimizing storage for AI-driven applications, and designing efficient data models to support Mando’s AI-powered enterprise platform. You’ll be responsible for developing pipelines that feed structured and unstructured data into our vector database, optimizing the core app data model, ensuring LLM observability and model tracking, and implementing data governance and compliance measures.

Our work culture values speed and iterative improvements, with a focus on daily updates and user feedback to refine the product continually. If you're passionate about working at the intersection of AI, data, and infrastructure, this role is for you.

Technical skills we look for
• Data Pipelines: Experience with ETL frameworks, batch & streaming data ingestion
• Vector Databases: Familiarity with Pinecone, Weaviate, or similar systems
• Infrastructure: Terraform, Azure, cloud-based data warehousing (BigQuery, Snowflake, or similar)
• Backend: Python, FastAPI, PostgreSQL
• LLM Observability: Experience with Langfuse, MLflow, or structured logging tools
• Data Governance & Compliance: Understanding of access control, lineage tracking, and regulatory compliance in AI-driven systems

Join Mando and be part of a team that’s not just building software but redefining an entire industry. If you're ready to make an impact and shape the future of enterprise AI, we want to hear from you.