AI Data Engineer
We are looking for a middle AI Data Engineer to build data pipelines and bring LLM-powered features into our clients' products.
Data & AI
Requirements
- 2-3 years of experience in data engineering or data-focused backend development
- Solid Python (pandas, SQL, API integrations)
- Experience building ETL/ELT pipelines (Airflow, dbt or similar)
- Hands-on work with LLM APIs (OpenAI, Anthropic) and RAG pipelines: vector databases, embeddings, chunking
- Experience with one of the clouds (AWS/GCP) and Docker
- English B2+ - documentation and clients
Nice to have
- Spark or ClickHouse at real data volumes
- MLOps tooling (MLflow, Weights & Biases)
- LangChain / LlamaIndex, fine-tuning experience
- Kubernetes
What you will do
- Design and maintain data pipelines for AI features in client products
- Collect, clean and version datasets; watch over data quality
- Integrate LLMs into web products: from a RAG prototype to production
- Measure AI feature quality with metrics and improve it
We offer
- Real AI projects for clients, not shelf-bound experiments
- Flexible schedule and remote work
- Company-paid training
- Competitive pay reviewed by results
Other positions
Polyarix is boundless faith in the team, without which none of this would have happened.