Middle Python Engineer (Backend / Data AI)

We are looking for a Middle Python Engineer with strong experience in backend development, data engineering, and AI/ML solutions. You will work on building scalable backend services, data pipelines, system integrations, and AI-powered search and retrieval solutions.

Responsibilities
Design, develop, and maintain backend services using Python.
Build and maintain ETL/ELT pipelines and data workflows using Airflow or similar tools.
Work with PostgreSQL, SQL, data modelling, and query optimization.
Develop integrations and data exchange solutions between different systems and platforms.
Implement AI/ML solutions involving embeddings, semantic search, vector search, and RAG pipelines.
Ensure the scalability, reliability, performance, and security of services and integrations.
Take ownership of technical solutions from requirements analysis and design to production.

Requirements
2+ years of commercial software engineering experience.
Strong Python skills and solid backend development experience.
Good understanding of software architecture, APIs, distributed systems, and system design.
Hands-on experience with SQL, PostgreSQL or other relational databases.
Experience with ETL/ELT, data pipelines, and Airflow or similar orchestration tools.
Practical experience with AI/ML, embeddings, semantic search, RAG, and vector databases/indexes.
Experience building integrations between different platforms.
Strong problem-solving skills and ability to work independently.
Good English communication skills.

Nice to have
Experience with Snowflake, Snowflake Cortex / Snowflake AI.
Experience with enterprise search systems and large-scale data platforms.
Knowledge of PrivateLink or other secure networking solutions.
Snowflake is not mandatory. Candidates with experience in other data platforms are welcome if they have strong Python, Data Engineering, and AI/ML expertise.