Backend & Data Engineer
Job Fit Check
Base Career helps you apply smarter for this job.
Key skills for this role
About the Role
Raw Ventures seeks a Backend & Data Engineer to build data lakes, pipelines, and backend services for AI products. Requires 5+ years of production backend experience, strong Python, and expertise in data infrastructure and LLM systems.
Key Skills for This Role
Responsibilities
- 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)
Full Job Posting
Job Overview
- We build AI powered products internally and support portfolio companies with complex data and AI infrastructure challenges.
- We are looking for an engineer who enjoys building the foundation beneath AI systems: data pipelines, backend services, storage architecture, APIs and the infrastructure that turns messy real world data into usable products.
- This is a hands on role with significant ownership and direct exposure to founders, operators, and investors.
What You'll Do
- 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.
What We Expect
- 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).
Nice to Have
- Go, TypeScript, ClickHouse, BigQuery, DuckDB, Kafka, Spark, ML frameworks, Forecasting, Recommendation Systems, Time Series Data, Geospatial Data, Startup Experience.
What We Offer
- 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.
- Competitive compensation, discussed individually.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Raw Ventures
Backend & Data Engineer
Dubai, UAE
Raw Ventures seeks a Backend & Data Engineer to build data pipelines, backend services, and infrastructure for AI-powered products. The role requires 5+ years of production backend experience, strong Python, database des
Senior Business Analyst - Commodity Trading Systems (Oil & Energy)
Dubai, UAE
Raw Ventures is seeking a Senior Business Analyst with deep knowledge of physical commodity trading operations to translate domain expertise into structured requirements for CTRM systems. The role involves mapping busine