Senior Python AI Solutions Engineer, Build LLM Apps

EPAM Systems; Argentina; Remoto; ARS 136.660.000 - 212.582.000; Tempo pieno

Vantaggi offerti da questo lavoro

Healthcare benefits

Paid time off & sick leave

Upskilling & certifications

LinkedIn Learning access

Descrizione del lavoro

EPAM Systems, Inc. seeks a Senior Python AI Solution Engineer to design and deliver production-grade AI/LLM applications. You will build RAG pipelines, implement AI agents, and integrate APIs to support scalable, secure deployments across cloud environments.

You will collaborate with Technical Leadership to shape project direction, translate business needs into robust implementations, and drive experimentation with model tracking and deployment tools.

Competenze

• 3+ years of professional software engineering experience in production AI/LLM apps.
• Deep Python experience (3.11+/3.12+).
• Experience with LangChain, LlamaIndex, and Pydantic.
• Knowledge of Hugging Face models/datasets, transformers tokenizers.
• Familiarity with QA, RAG, vector search tech (FAISS, Qdrant, Weaviate).

Mansioni

• Design and build production-grade AI and LLM apps in Python.
• Develop and maintain RAG pipelines and AI agent architectures.
• Integrate APIs to support AI-driven solutions and deploy across cloud environments.
• Ensure secure, scalable system integration across platforms.
• Collaborate with Technical Leadership to define architecture and roadmap.

Conoscenze

Python

AI/LLM development

RAG pipelines

AI agent frameworks

APIs

Cloud deployment

LangChain

LlamaIndex

Pydantic

Uvicorn/FastAPI

Strumenti

LangChain

LlamaIndex

Pydantic

Hugging Face

sentence-transformers

tokenizers

uvicorn

FastAPI

Jupyter

MLflow

Descrizione del lavoro

EPAM Systems, Inc. seeks a Senior Python AI Solution Engineer to design and deliver production-grade AI/LLM applications. You will build RAG pipelines, implement AI agents, and integrate APIs to support scalable, secure deployments across cloud environments.

You will collaborate with Technical Leadership to shape project direction, translate business needs into robust implementations, and drive experimentation with model tracking and deployment tools.