AI/Data Engineer with Fluent English

About the Role We're looking for an experienced AI/Data Engineer to help build scalable AI-powered applications and modern data platforms. You'll work on LLM integrations, data pipelines, cloud infrastructure, and production-ready AI systems while collaborating with an international team. Responsibilities - Build and maintain scalable data pipelines (ETL/ELT) - Design and optimize data models and databases - Develop AI applications using LLMs and RAG architectures - Integrate APIs and third-party data sources - Deploy and monitor AI/data solutions in cloud environments - Ensure data quality, reliability, and security - Collaborate with product, engineering, and business teams Requirements - 4+ years of experience in Data Engineering, AI Engineering, or similar roles - Strong Python programming skills - Experience with SQL and modern databases - Experience building ETL/ELT pipelines - Hands-on experience with cloud platforms (AWS, Azure, or GCP) - Familiarity with Docker and CI/CD - Experience with LLMs (OpenAI, Claude, Gemini, etc.) - Knowledge of vector databases and RAG is a plus - Excellent problem-solving skills - Fluent English (spoken and written) Nice to Have - Snowflake, Databricks, or BigQuery - Airflow, Prefect, or Dagster - Spark or Kafka - Kubernetes - Machine Learning experience - Experience with LangChain, LlamaIndex, or similar frameworks - Tech Stack - Python - SQL - AWS / Azure / GCP - Docker - Airflow - Snowflake / BigQuery / Databricks - OpenAI / Claude / Gemini - PostgreSQL - Git & CI/CD