Job description for AI & Data Engineer at Azura Labs
Azura Labs is a fast-growing tech partner with 45+ successful projects for our clients, such as Paragon, TMII, Pertamina, and GoTo. We are looking for AI & Data Engineers to take part in developing next-generation AI workflows, scalable data pipelines, and real-world LLM implementations.
If you’re experienced in Python, modern data stacks, and LLM frameworks, this is your space to grow.
Technical Requirements
● Programming: Mastery of Python (FastAPI, Pydantic, Pandas, ScykitLeran,
Pyspark).
● AI Frameworks: Hands-on experience with LangChain, LangGraph, or similar
libraries focused on agentic behavior. Understanding of MCP.
● Databases:
○ Experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate, or
pgvector).
○ Strong proficiency in Relational Databases (PostgreSQL / Snowflake /
BigQuery).
● Data Warehousing: Clear understanding of Star/Snowflake schemas,
Fact/Dimension modeling, and modern data stack principles.
● NLP: Proven experience with Hugging Face ecosystem, BERT-family models, and
intent classification techniques.
● ETL: Able to create & maintain ETL jobs with Python & Airflow.