AI & Data Engineer

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.