Backend Developer / Data Engineer
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Summary
Senior backend/data engineer working on two AI projects — a RAG-based consumer assistant and a document-analysis tool with a chat interface — in Warsaw. Day-to-day: building Python/FastAPI REST services, ETL pipelines, PostgreSQL data layers, Dockerized apps, CI/CD with GitHub Actions, and AWS services (Glue, Batch, ECS, S3, ECR).
Description of the project in which the service will be provided
One of the projects is a RAG-based consumer assistant, the second one is focused on in-depth various types of document analysis and a chat-based interface. Both projects need further development and maintenance.
Experience level: At least 8 years of professional experience.
Location: Warsaw, Poland
Key technical requirements
- Python Proficiency: Strong proficiency in Python, including writing clean, type-hinted, scalable, and testable code. Strong focus on code quality, maintainability, and engineering best practices.
- Backend And Data Pipelines Development: Proficiency to develop REST applications with FastAPI. Experience with databases (e.g. PostgreSQL). Experience with designing and implementing ETL pipelines.
- Development Practices: Strong knowledge of Git version control. Experience with GitHub Actions and building CI/CD pipelines.
- Cloud / Platform Requirements: Strong knowledge of Docker and application containerization. Good understanding of core AWS services, particularly AWS Glue, AWS Batch, ECS, S3, and ECR.
Nice-to-have requirements
- Observability: Basic knowledge of OpenTelemetry, including metrics, distributed tracing, logging, and observability best practices.
- Platform & Security: Basic knowledge of Kubernetes and Helm Charts. Familiarity with OAuth 2.0 and modern authorization mechanisms.
- Data & Architecture: Understanding of relational databases and data engineering best practices. Experience building cloud-native and microservices-based systems.
- AI / Machine Learning: Interest in or experience working with AI/ML systems and LLM-based applications.