Senior Python AI Solution Engineer

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.

Work arrangement
Yes