Lead AI Engineer: Scale End-to-End AI Apps

EPAM Systems; Colombia; Presencial; COP 180.000.000 - 240.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Learning culture

Health coverage

Stock option purchase plan

Professional growth opportunities

Medical leave coverage

Descripción de la vacante

EPAM Systems is seeking a Senior/Lead AI Engineer to design, build, and scale end-to-end AI applications, including chatbots, agent workflows, and LLM-driven solutions. You will work directly with clients, drive technical decisions, and deliver production-grade AI systems that create real business impact.

The role demands 5+ years in AI/ML with production-grade delivery, expertise in Python/Java/Scala, and experience with vector databases, LLM platforms, and MLOps.

Formación

• 5+ years of AI/ML engineering with production-grade delivery.

Responsabilidades

• Design and deploy AI/LLM applications at scale (RAG, agentic systems, Q&A platforms).
• Architect solutions using agentic frameworks, integrating with vector databases and advanced memory architectures.
• Build APIs, data pipelines, and enterprise integrations (CRM, ERP, cloud platforms).
• Evaluate and refine AI performance using LLM-based evaluation, agent metrics, and A/B testing.
• Ensure performance, security, observability, and cost-efficiency across deployed solutions.
• Conduct research, rapid prototyping, and experimentation to validate feasibility and business value.

Conocimientos

AI/ML engineering

Python

Java

Scala

LLM platforms

Agent frameworks

Vector databases

MLOps

Security

Communication

Leadership

Herramientas

LangChain

LangGraph

Semantic Kernel

LlamaIndex

Strands Agents

Descripción del empleo

EPAM Systems is seeking a Senior/Lead AI Engineer to design, build, and scale end-to-end AI applications, including chatbots, agent workflows, and LLM-driven solutions. You will work directly with clients, drive technical decisions, and deliver production-grade AI systems that create real business impact.

The role demands 5+ years in AI/ML with production-grade delivery, expertise in Python/Java/Scala, and experience with vector databases, LLM platforms, and MLOps.