We are looking for a Lead Python AI Solution Engineer to build production AI and LLM solutions, shape architecture and deliver reliable, scalable systems.

You will lead Python-based RAG and agent work, integrate APIs, and partner with client technical leadership to steer decisions and delivery.

Responsibilities

Design and deliver production-ready AI and LLM applications in Python

Develop and sustain RAG pipelines along with AI agent architectures

Implement and connect APIs that enable AI-driven capabilities

Deploy and operate AI systems across cloud environments

Ensure secure, scalable integration across platforms and services

Collaborate with client Technical Leadership to set project direction and architecture

Evaluate technical trade-offs with strong analytical judgment and recommend solutions

Prototype and prove AI concepts using the right frameworks and tools

Support experimentation and model tracking throughout the development lifecycle

Translate business requirements into dependable technical implementations

Requirements5+ years of professional software engineering experience, including substantial hands-on delivery of production AI and LLM applications

High proficiency with Python 3.11/3.12+ as your primary programming language

Deep experience with LLM application and agent frameworks such as Lang

Chain, Llama

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

Hands-on familiarity with Python project and dependency tooling such as uv, venv, and Poetry

Solid command of code quality and development tools including Ruff, Pytest,



and Jupyter

Strong background with machine learning libraries such as Num

Py, pandas/Polars, and scikit-learn

Practical understanding of deep learning frameworks such as PyTorch and Tensor

Flow/Keras

Proven track record implementing vector search and RAG infrastructure such as FAISS, Qdrant, Chroma, Weaviate, Milvus, or pgvector with PostgreSQLHands-on experience building AI APIs and deployment components with FastAPI, Pydantic, and Uvicorn

Demonstrated skills in containerization and orchestration using Docker and Kubernetes

Experience working with data infrastructure technologies such as PostgreSQL, Redis, and Apache Kafka

English proficiency at B2 level (Upper-Intermediate) or higher

Nice to have

Experience applying TRL for LLM post-training

Knowledge of DSPy for building programmatic LLM pipelines

Familiarity with LiteLLM to unify access to multiple LLM APIsExperience with experiment tracking tools such as MLflow and Weights & Biases

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

International projects with top brands

Work with global 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

General career opportunities

Volunteer and community involvement opportunitiesEPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and Linked

In #J-18808-Ljbffr

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