Lead Python AI Solutions Architect

EPAM Systems; Argentina; A distancia; ARS 3.000.000 - 7.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Paid time off

LinkedIn Learning access

Descripción de la vacante

EPAM Systems, Inc. seeks a Lead Python AI Solution Engineer to build production AI and LLM solutions in Python. You will lead Python-based RAG and agent work, integrate APIs, and partner with client technical leadership to steer decisions and delivery.

You will design production-ready AI applications, develop RAG pipelines, deploy across cloud environments, and ensure secure, scalable integration while collaborating with stakeholders to shape project direction and architecture.

Formación

• 5+ years of professional software engineering experience, incl. production AI/LLM apps.
• Strong Python 3.11/3.12+ expertise.
• Experience with LangChain, LlamaIndex, PydanticAI.
• Hands-on with Hugging Face models/datasets, transformers.
• Familiar with PyTorch/TensorFlow/Keras and ML tooling.

Responsabilidades

• Design and deliver production-ready Python AI/LLM applications.
• Develop and sustain RAG pipelines and AI agent architectures.
• Implement and connect APIs enabling AI capabilities.
• Deploy and operate AI systems across cloud environments.
• Ensure secure, scalable integration across platforms.
• Collaborate with client technical leadership on architecture and delivery.
• Prototype and prove AI concepts; support model tracking and experiments.
• Translate business requirements into dependable technical implementations.

Conocimientos

Python programming

LLM concepts

API integration

Herramientas

LangChain

LlamaIndex

PydanticAI

Hugging Face

sentence-transformers

tokenizers

uv

venv

Poetry

Ruff

Pytest

Jupyter

FastAPI

Uvicorn

Docker

Kubernetes

PostgreSQL

Redis

Apache Kafka

MLflow

Weights & Biases

Descripción del empleo

EPAM Systems, Inc. seeks a Lead Python AI Solution Engineer to build production AI and LLM solutions in Python. You will lead Python-based RAG and agent work, integrate APIs, and partner with client technical leadership to steer decisions and delivery.

You will design production-ready AI applications, develop RAG pipelines, deploy across cloud environments, and ensure secure, scalable integration while collaborating with stakeholders to shape project direction and architecture.