Senior AI Engineer: Architect Scalable LLM Solutions

EPAM Systems, Inc.; Argentina; A distancia; ARS 1.800.000 - 3.200.000; Jornada completa

Descripción de la vacante

EPAM Systems, Inc. is seeking a Senior/Lead AI Engineer to design, build, and scale end-to-end AI applications, including chatbots and LLM-driven solutions.

You will work directly with clients and drive technical decisions to deliver production-grade systems that create real business impact. Responsibilities include designing AI at scale (RAG, agentic systems), integrating with vector databases and memory architectures, building APIs and data pipelines, and ensuring performance, security, and

Formación

• 5+ years in AI/ML engineering with production-grade delivery.
• Proficient in Python/Java/Scala and modern web frameworks.
• Hands-on experience with major LLM platforms and agent orchestration.
• Experience with vector databases and semantic/hybrid search.
• Knowledge of MLOps/AIOps, monitoring, and security.

Responsabilidades

• Design and deploy AI/LLM applications at scale (RAG, agentic systems, Q&A platforms).
• Architect solutions using agentic frameworks, integrating vector databases and memory architectures.
• Build APIs, data pipelines, and enterprise integrations (CRM, ERP, cloud platforms).
• Evaluate AI performance using LLM-based metrics, agent metrics, and A/B testing.
• Ensure performance, security, observability, and cost-efficiency of deployed solutions.
• Conduct research, rapid prototyping, and experimentation to validate feasibility and value.
• Stay current with AI protocols (MCP, A2A, ACP) and evolving LLM technologies.

Conocimientos

AI/ML engineering

Production-grade delivery

Distributed systems

Python/Java/Scala

LLM platforms

Agent frameworks

Communication

Herramientas

LangChain

FAISS

Azure OpenAI

Pinecone

MLOps

Descripción del empleo

EPAM Systems, Inc. is seeking a Senior/Lead AI Engineer to design, build, and scale end-to-end AI applications, including chatbots and LLM-driven solutions.

You will work directly with clients and drive technical decisions to deliver production-grade systems that create real business impact. Responsibilities include designing AI at scale (RAG, agentic systems), integrating with vector databases and memory architectures, building APIs and data pipelines, and ensuring performance, security, and