Backend Engineer, Data Engineer

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Raw Ventures

WebsiteLinkedInAll Job Openings

11 - 50 employees

🧬 Biotechnology

📱 Media

🤖 Artificial Intelligence

Biotechnology • Media • Artificial Intelligence

<Raw Ventures> Raw Ventures is a venture studio and investment firm that backs and builds startups across MediaTech, HealthTech, biotech, and sustainability sectors using evergreen capital, hands-on advisory, and talent development. It operates an ecosystem combining investment (Evergreen), AI-powered advisory (Raw Advisory), and creative/talent support (Raw Creative) to help technologies move from proven concepts to practical impact, and it focuses on innovative content, healthcare and biotech ventures. The firm emphasizes building interconnected companies rather than isolated startups and publishes news about its portfolio and activity.

📋 Description

• Own the data and backend layer behind AI products and internal platforms • Design and build data lakes, warehouses, and backend systems • Build data ingestion services, APIs, ETL/ELT pipelines, and workflow orchestration • Design relational and analytical databases (Postgres, ClickHouse, BigQuery, DuckDB or similar) • Build infrastructure for LLM applications, RAG systems, embeddings, and retrieval pipelines • Deploy and operate production systems using Docker, Kubernetes, CI/CD, and cloud infrastructure • Work directly with founders and product teams on data-intensive and AI-driven products

🎯 Requirements

• 5+ years building production backend systems • Strong Python • Strong database design and data modelling experience • Experience building and operating data pipelines at scale • Experience with modern data tooling (Airflow, Dagster, dbt, Kafka, Spark, etc.) • Practical experience with LLM systems, RAG, vector databases, or AI infrastructure • Cloud infrastructure experience (AWS, GCP, or Azure) • Russian fluent or native (required)

🏖️ Benefits

• Fully remote • Direct access to founders and investors • Work across multiple AI products and companies • High ownership and autonomy • Exposure to both engineering and venture investing