Lead AI Engineer: Scalable LLM & Agentic Systems

EPAM Systems

Argentina

Presencial

ARS 3.000.000 - 5.000.000

Jornada completa

hace 7 horas
Sé de los primeros/as/es en solicitar esta vacante
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Ventajas ofrecidas por este puesto de trabajo

Connectivity Bonus
Medicina Prepaga
Paternity Leave
Discounts card
English Training
Training Program
Marriage Bonus
Referral Program
External Discounts
Vacations 14 days

Descripción de la vacante

EPAM Systems is seeking a Lead AI Engineer to design, build, and scale cutting-edge AI applications powered by large language models. Collaborate with clients to deliver tailored LLM-driven solutions, architect agentic systems, and drive adoption of emerging AI technologies across enterprise environments.

The role focuses on end-to-end AI application development, data pipelines, prompt strategies, and robust system integration.

Formación

  • Proficiency in at least one modern programming language; experience with web frameworks is a plus.
  • Knowledge of AI application development lifecycle, including production deployment and system integration.
  • Familiarity with major LLM platforms and related frameworks.
  • Experience deploying AI solutions at scale with focus on performance and security.
  • Experience with enterprise system integration (CRM, ERP) and data pipelines.

Responsabilidades

  • Design, implement and maintain end-to-end AI applications (chatbots, Q&A, agent workflows).
  • Collaborate with clients to understand needs and propose tailored AI/LLM solutions.
  • Architect and optimize data pipelines, prompts, and datasets for scalable models.
  • Monitor AI system performance, ensure accuracy, security and compliance.
  • Conduct experiments and rapid prototyping to validate feasibility and value.
  • Stay current with evolving LLM technologies and methodologies.
  • Design agentic systems with frameworks like LangChain, LangGraph, Semantic Kernel.
  • Develop APIs and system integrations for production-grade AI apps.
  • Deploy AI solutions at scale with attention to performance and observability.
  • Implement retrieval and ranking systems (keyword search, embeddings).
  • Apply MLOps/AIOps practices for agentic systems.

Conocimientos

Programming languages
APIs & deployment
LLM lifecycle
Data pipelines
Communication

Herramientas

LangChain
LangGraph
Semantic Kernel
LlamaIndex
Strands Agents
Pinecone
FAISS

Descripción del empleo

EPAM Systems is seeking a Lead AI Engineer to design, build, and scale cutting-edge AI applications powered by large language models. Collaborate with clients to deliver tailored LLM-driven solutions, architect agentic systems, and drive adoption of emerging AI technologies across enterprise environments.

The role focuses on end-to-end AI application development, data pipelines, prompt strategies, and robust system integration.

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