Senior Python AI Solution Engineer

EPAM Systems; Chile; On-site; CLP 9,000,000 - 15,000,000; Full time

Benefits offered by this job

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and certificates

Job summary

EPAM Systems seeks a Senior Python AI Solution Engineer to design and build production-grade AI and LLM applications in Python. You will develop RAG pipelines, AI agents, and APIs, deploying across cloud environments with secure, scalable integrations.

Collaboration with customer leadership and rapid prototyping will shape architecture and drive AI initiatives. The role requires 3+ years of software engineering with hands-on AI/LLM experience, strong Python skills, and solid knowledge of ML

Qualifications

• 3+ years of professional software engineering experience, with hands-on 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 LangChain, LlamaIndex, and PydanticAI.
• Knowledge 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 NumPy, pandas/Polars, and scikit‑learn.
• Understanding of deep learning frameworks such as PyTorch and TensorFlow/Keras.
• Competency in vector search and RAG infrastructure such as FAISS, Qdrant, Chroma, Weaviate, Milvus, or pgvector with PostgreSQL.
• Experience 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.

Responsibilities

• Design 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.

Skills

Software engineering

Analytical thinking

Decision-making

Team collaboration

English proficiency

Tools

Python 3.11/3.12+

LangChain

LlamaIndex

PydanticAI

Hugging Face

sentence-transformers

tokenizers

uv

venv

Poetry

Ruff

Pytest

Jupyter

NumPy

pandas/Polars

scikit-learn

PyTorch

TensorFlow/Keras

FAISS

Qdrant

Chroma

Weaviate

Milvus

pgvector

PostgreSQL

Redis

Apache Kafka

FastAPI

Uvicorn

Docker

Kubernetes

Job description

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 initiatives.

Responsibilities

• Design 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

Requirements

• 3+ 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 LangChain, LlamaIndex, and PydanticAI
• Knowledge 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 NumPy, pandas/Polars, and scikit‑learn
• Understanding of deep learning frameworks such as PyTorch and TensorFlow/Keras
• Competency in vector search and RAG infrastructure such as FAISS, Qdrant, Chroma, Weaviate, Milvus, or pgvector with PostgreSQL
• Experience 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 APIs
• Skills 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 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 LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.