AI Data Engineer

Valiant Technologies LLC; Georgia; On-site; USD 120,000 - 180,000; Full time

Job summary

Valiant Technologies LLC seeks an experienced AI Data Engineer to build scalable data pipelines and infrastructure for AI/ML, RAG, and LLM applications. The role requires strong SQL, Python/Scala, and cloud data platforms with experience processing structured and unstructured data.

Key responsibilities include designing ingestion pipelines, building embedding pipelines, integrating vector databases, and enabling RAG, chunking, and vector search while supporting ML lifecycle workflows and

Qualifications

• Strong SQL and Python/Scala.
• Apache Airflow and dbt.
• RAG, vector databases, embeddings, and vector search.
• Unstructured data processing.
• ML lifecycle knowledge.

Responsibilities

• Design and develop data ingestion, transformation, and processing pipelines.
• Build embedding pipelines and integrate vector databases.
• Develop data pipelines supporting RAG, chunking, and vector search.
• Process structured and unstructured data (PDFs, documents, logs, transcripts).
• Implement data quality, governance, lineage, and access controls.
• Support ML model training, inference, MLOps, and LLMOps workflows.
• Optimize data pipelines for performance, scalability, and cost.

Skills

SQL

Python/Scala

RAG & vector databases

Unstructured data processing

ML lifecycle knowledge

Tools

Apache Airflow

dbt

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary

Seeking an experienced AI Data Engineer to build and maintain scalable data pipelines and infrastructure supporting AI/ML, RAG, and LLM applications. The candidate should have strong SQL, Python/Scala, cloud data platforms, and experience processing structured and unstructured data.

Key Responsibilities

• Design and develop data ingestion, transformation, and processing pipelines.
• Build embedding pipelines and integrate vector databases.
• Develop data pipelines supporting RAG, chunking, and vector search.
• Process structured and unstructured data (PDFs, documents, logs, transcripts).
• Implement data quality, governance, lineage, and access controls.
• Support ML model training, inference, MLOps, and LLMOps workflows.
• Optimize data pipelines for performance, scalability, and cost.

Mandatory Skills

• Strong SQL and Python/Scala.
• Apache Airflow / dbt.
• RAG, Vector Databases, Embeddings, and Vector Search.
• Unstructured Data Processing.
• ML Lifecycle Knowledge.

Nice to Have

• Snowflake Cortex / Cortex Search.
• Financial Services / Regulated Industry Experience.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.