Lead AI Engineer: Scale LLM Apps & AI Systems

EPAM Systems

Colombia

Presencial

COP 120.000.000 - 180.000.000

Jornada completa

hace 22 horas
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Visual health budget
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Medical leave coverage
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Descripción de la vacante

EPAM Systems in Colombia is seeking a Senior/Lead AI Engineer to design, build, and scale end-to-end AI applications, including chatbots and LLM-driven solutions, delivering production-grade systems with business impact.

You will work with clients, drive technical decisions, and lead initiatives across AI/ML, vector databases, and MLOps, ensuring security, performance, and cost-efficiency while staying current with emerging AI protocols.

Formación

  • 5+ years in AI/ML engineering with production-grade delivery experience.
  • Strong programming skills in Python/Java/Scala.
  • Hands-on with LLM platforms and agentic frameworks.
  • Experience with vector databases and retrieval systems.
  • Knowledge of MLOps/AIOps, monitoring and security.

Responsabilidades

  • Design and deploy AI/LLM applications at scale (RAG, agentic systems).
  • Architect solutions using agentic frameworks and vector DBs.
  • Build APIs, data pipelines, and enterprise integrations.
  • Evaluate AI performance with LLM-based metrics and A/B testing.
  • Ensure performance, security, observability, and cost-efficiency.
  • Conduct rapid prototyping to validate feasibility and business value.
  • Stay current with AI protocols (MCP, A2A, ACP).

Conocimientos

Python
Java
Scala
LLM platforms
Agentic frameworks
Vector databases
MLOps/AIOps
Communication

Herramientas

LangChain
LangGraph
Semantic Kernel
LlamaIndex
Strands Agents
Qdrant
FAISS
Chroma
Pinecone
Weaviate
FastAPI
Flask
Spring Boot
ASP.NET
Azure OpenAI
Bedrock
Vertex AI
vLLM

Descripción del empleo

EPAM Systems in Colombia is seeking a Senior/Lead AI Engineer to design, build, and scale end-to-end AI applications, including chatbots and LLM-driven solutions, delivering production-grade systems with business impact.

You will work with clients, drive technical decisions, and lead initiatives across AI/ML, vector databases, and MLOps, ensuring security, performance, and cost-efficiency while staying current with emerging AI protocols.

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