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 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 Pydantic AIKnowledge 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 Py Torch and Tensor Flow/Keras Competency in vector search and RAG infrastructure such as FAISS, Qdrant, Chroma, Weaviate, Milvus, or pgvector with Postgre SQLExperience with AI API and deployment tools such as Fast API, Pydantic, and Uvicorn Qualifications in containerization and orchestration tools such as Docker and Kubernetes Capability to work with data infrastructure technologies such as Postgre SQL, 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 Lite LLM 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 Fast API 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 opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and Linked In 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.
#J-18808-Ljbffr

📌 Senior python ai solution engineer (Ciudad de México)
🏢 Epam Systems
📍 Ciudad de México