Gen AI Engineer — Predictive Analytics & RAG Apps

EPAM Systems, Inc.; Colombia; A distancia; COP 40.000.000 - 80.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

PTO and sick leave

Learning & development

Global career opportunities

Descripción de la vacante

EPAM Systems, Inc. is seeking an AI Engineer to contribute to a predictive asset demand and gap analysis platform. You will build Gen AI applications and RAG-based data retrieval solutions, leveraging Databricks Datalake to process large datasets.

The role requires 2+ years in Gen AI development, prompt engineering, and RAG work, with English communication навыки at B2 level or higher. Familiarity with Python is a plus, and international teams await collaboration.

Formación

• 2+ years of Gen AI development experience.
• Experience with designing and implementing prompt-based solutions.
• Hands-on with RAG architectures and data retrieval

Responsabilidades

• Develop Gen AI applications to support predictive analytics and gap analysis use cases.
• Design and implement RAG applications to enhance data retrieval and generation capabilities.
• Apply prompt engineering to optimize model performance and output quality.
• Work with Databricks Datalake to manage and process large-scale datasets.
• Collaborate with cross-functional teams to align AI solutions with business requirements.
• Communicate technical concepts and project updates effectively in English.

Conocimientos

Gen AI Application Development

Prompt Engineering

RAG Applications Development

Herramientas

Databricks Datalake

Python

Descripción del empleo

EPAM Systems, Inc. is seeking an AI Engineer to contribute to a predictive asset demand and gap analysis platform. You will build Gen AI applications and RAG-based data retrieval solutions, leveraging Databricks Datalake to process large datasets.

The role requires 2+ years in Gen AI development, prompt engineering, and RAG work, with English communication навыки at B2 level or higher. Familiarity with Python is a plus, and international teams await collaboration.