Autonomous AI & Data Engineer

Azura Labs; Indonesia; On-site; IDR 120,000,000 - 240,000,000; Full time

Benefits offered by this job

Health insurance

Catering menus

Job summary

Azura Labs is building next‑generation intelligent systems. This role focuses on architecting agentic workflows that can reason, remember, and act, enabling autonomous decision making across data pipelines and applications.

You will design RAG pipelines, manage memory, and integrate MCP. Expect to work with Python, SQL, NLP models, and vector databases to deliver scalable AI capabilities—collaborating with data science and platform teams.

Qualifications

• 3–5 years of experience in related field.
• Experience with graph databases for RAG and knowledge graphs.
• DevOps/MLOps: Docker, Kubernetes, or CI/CD for AI services.
• JSON-RPC or MCP architecture familiarity.
• Knowledge of DBT.

Responsibilities

• AI & LLM Orchestration: design autonomous agents with multi-step reasoning.
• Data Engineering & ML: build scalable ETL/ELT, feature engineering, and data modeling.
• NLP: fine-tune NLP models for NER and intent classification.
• RAG pipelines: build and optimize retrieval augmented generation.

Tools

Python

FastAPI

Pydantic

Pandas

SciKit-Learn

PySpark

LangChain

LangGraph

MCP

Vector databases

Pinecone

Milvus

Weaviate

pgvector

PostgreSQL

Snowflake

BigQuery

Data Warehousing

Star/Snowflake schemas

ETL with Airflow

Hugging Face

BERT

NLP

DBT

Neo4j

Job description

Azura Labs is building next‑generation intelligent systems. This role focuses on architecting agentic workflows that can reason, remember, and act, enabling autonomous decision making across data pipelines and applications.

You will design RAG pipelines, manage memory, and integrate MCP. Expect to work with Python, SQL, NLP models, and vector databases to deliver scalable AI capabilities—collaborating with data science and platform teams.