Senior AI Solutions Engineer - GenAI, RAG & Production ML

EPAM Systems, Inc.; Colombia; A distancia; COP 120.000.000 - 180.000.000; Jornada completa

Descripción de la vacante

EPAM Systems, Inc. seeks a Senior AI Solution Engineer to design scalable AI systems that blend generative AI with ML accuracy.

You will build AI agents to automate workflows and support enterprise decisions, ground outputs through RAG pipelines, and deploy secure APIs in production architectures. You will evaluate models, improve performance, and collaborate with cross-functional teams across engineering and analytics to deliver iterative value, with a strong emphasis on reliability, security,

Formación

• 3+ years of experience building AI solutions with Python and modern ML tooling.
• Hands-on experience developing AI agents and agentic workflows.
• Experience delivering Retrieval-Augmented Generation (RAG) solutions.
• Production engineering skills for reliability, security, and observability.

Responsabilidades

• Design scalable AI solutions that blend generative AI capabilities with ML-driven precision.
• Build and deploy AI agents that automate workflows and support enterprise decision-making.
• Develop RAG pipelines that ground model outputs in trusted knowledge sources.
• Implement AI services and APIs using Python within production architectures.
• Optimize prompt design and retrieval strategies to improve output quality and consistency.
• Evaluate models and system performance and drive continuous improvement cycles.
• Integrate AI components into production environments with security, observability, and governance.

Conocimientos

Python

AI agents

RAG

GCP

ML tooling

APIs

Observability

Security

English (B2)

Educación

Bachelor's degree in Computer Science or Engineering

Herramientas

Kubernetes

Docker

Vertex AI

GCP tooling

Descripción del empleo

EPAM Systems, Inc. seeks a Senior AI Solution Engineer to design scalable AI systems that blend generative AI with ML accuracy.

You will build AI agents to automate workflows and support enterprise decisions, ground outputs through RAG pipelines, and deploy secure APIs in production architectures. You will evaluate models, improve performance, and collaborate with cross-functional teams across engineering and analytics to deliver iterative value, with a strong emphasis on reliability, security,