# AI Engineer

**Company**: CORSAIR
**Location**: Ho Chi Minh
**Experience**: mid
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://edix.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/8986?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/ai-engineer-c4ce1d77-3c4/

## Description

We are seeking an experienced AI Engineer to design, develop, and optimize scalable ETL/ELT pipelines for enterprise data ingestion, integration, and transformation.

Responsibilities:

- Design, develop, and optimize scalable ETL/ELT pipelines for enterprise data ingestion, integration, and transformation.

- Build and maintain data engineering workflows using Databricks, dbt, PySpark, SQL, and Python.

- Develop Data Lake, Data Warehouse, and Lakehouse solutions, including data modeling and incremental processing.

- Collaborate with business stakeholders to understand requirements, business processes, and challenges, and translate them into effective data and analytics solutions.

- Proactively communicate with business users and technical teams to clarify requirements, provide project updates, address issues, and ensure solutions meet business expectations.

- Ensure data quality, consistency, security, and governance through validation and automated testing.

- Prepare and integrate enterprise data to support BI, AI/ML applications, and advanced analytics.

- Develop AI/LLM solutions, including RAG, AI agents, API integrations, and intelligent workflow automation.

- Monitor and optimize data pipeline performance, reliability, resource utilization, and costs.

- Implement data orchestration, CI/CD, automated deployment, and monitoring practices.

- Collaborate with BI, AI, IT, and business teams to support solution delivery, user testing, documentation, and continuous improvement.

Requirements:

- 2–4 years of hands-on experience in Data Engineering, ETL/ELT, and enterprise data platforms.

- Strong SQL and Python skills, with practical experience in Databricks, PySpark, Delta Lake, and dbt.

- Experience designing, developing, and optimizing production data pipelines, data models, and Lakehouse/Data Warehouse solutions.

- Ability to understand business processes, gather and clarify requirements, and translate business needs into actionable technical solutions.

- Strong verbal and written communication skills, including the ability to explain technical concepts to non-technical stakeholders.

- Strong analytical, problem-solving, and interpersonal skills, with a proactive attitude and ability to collaborate across business and technical teams.

- Familiarity with cloud data platforms (Azure/Microsoft Fabric preferred), Git, CI/CD, and data quality practices.

- Understanding of AI/LLM technologies, API integrations, and AI-driven data processing or automation.

- Nice-to-Have: Experience with RAG, AI agents, vector databases, Power BI, or enterprise ERP systems.

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## Skills

### Required
- SQL
- Python
- Databricks
- PySpark
- Delta Lake
- dbt
- ETL/ELT
- Data Engineering
- Data Lake
- Data Warehouse
- Lakehouse
- AI/LLM

### Nice to have
- RAG
- AI agents
- vector databases
- Power BI
- enterprise ERP systems

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Source: [Apply at edix.fa.us2.oraclecloud.com](https://edix.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/8986?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)