Description

You will build data pipelines and architectures to extract AI insights from structured and semi-structured data.

This role is hybrid.

Responsibilities

• Develop and implement RAG architectures to integrate LLMs with enterprise data sources.
• Build and optimize vector search capabilities for large-scale data retrieval.
• Integrate OpenAI models into existing data workflows and applications.
• Engineer prompts to improve the accuracy and utility of LLM outputs.

Required Skills

• 5+ years of professional experience in data or AI engineering.
• Advanced proficiency in Python.
• Hands-on experience with LLM frameworks, specifically RAG and Vector Search.
• Deep experience with OpenAI integration.
• Proven ability to work with structured and semi-structured data.
• Degree in any graduate field.

Preferred Skills

• Experience with Kafka, Snowflake, or Elasticsearch.

Key Skills

Education

Any Graduate