Lead Python AI Solution Engineer

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

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

Requirements

5+ 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 LangChain, LlamaIndex, and PydanticAI

Working 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 NumPy, pandas/Polars, and scikit-learn

Practical understanding of deep learning frameworks such as PyTorch and TensorFlow/Keras

Proven track record implementing vector search and RAG infrastructure such as FAISS, Qdrant, Chroma, Weaviate, Milvus, or pgvector with PostgreSQL

Hands-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 APIs

Experience 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

We offer

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.

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