We are seeking a Senior Python AI Solution Engineer with strong software engineering fundamentals and hands-on experience building production AI and LLM applications.

The ideal candidate combines deep expertise in Python, RAG, AI agents, APIs, cloud services, system integration, and production deployment with sharp analytical thinking and sound decision-making.

You will act as a trusted technical partner to customer leadership, helping guide the direction of AI and build production-grade AI and LLM applications using Python

Develop and maintain RAG pipelines and AI agent architectures

Build and integrate APIs to support AI-driven solutions

Deploy and manage AI systems across cloud environments

Ensure secure and scalable system integration across platforms

Collaborate with customer Technical Leadership to define project direction and architecture

Apply analytical rigor to evaluate technical trade-offs and recommend solutions

Prototype and validate AI concepts using appropriate frameworks and tools

Support experimentation and model tracking throughout the development lifecycle

Translate business requirements into robust technical implementations

Requirements3+ years of professional software engineering experience, with significant hands-on work in production AI and LLM applications

Proficiency in Python 3.11/3.12+ as a primary development language

Expertise in LLM application and agent frameworks such as Lang

Chain, Llama

Index, and PydanticAIKnowledge of Hugging Face Models/Datasets, sentence-transformers, and tokenizers

Familiarity with Python project and dependency management tools such as uv,



venv, and Poetry

Skills in code quality tools including Ruff, Pytest, and Jupyter

Background in machine learning libraries such as Num

Py, pandas/Polars, and scikit-learn

Understanding of deep learning frameworks such as PyTorch and Tensor

Flow/Keras

Competency in vector search and RAG infrastructure such as FAISS, Qdrant, Chroma, Weaviate, Milvus, or pgvector with PostgreSQLExperience with AI API and deployment tools such as FastAPI, Pydantic, and Uvicorn

Qualifications in containerization and orchestration tools such as Docker and Kubernetes

Capability to work with data infrastructure technologies such as PostgreSQL, Redis, and Apache Kafka

English proficiency at B2 level or higher

Nice to have

Experience with TRL for LLM post-training

Knowledge of DSPy for programmatic LLM pipelines

Familiarity with LiteLLM for unified access to multiple LLM APIsSkills in experiment tracking tools such as MLflow and Weights & Biases

Showcase of AI application UI development using Streamlit, Gradio, or FastAPI with React/Next.js/Angular 19+We offer

International projects with top brands

Work with general teams of highly skilled, diverse peers

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and certification courses

Unlimited access to the Linked

In Learning library and 22,000+ courses

Global career opportunities

Volunteer and community involvement opportunitiesEPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and Linked

In #J-18808-Ljbffr

📌 Senior Python AI Solution Engineer (Argentina)
🏢 EPAM Systems
📍 Argentina