Senior Python AI Solution Engineer

EPAM Systems; Argentina; Remote; ARS 136,660,000 - 212,582,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off & sick leave

Upskilling & certifications

LinkedIn Learning access

Job summary

EPAM Systems, Inc. seeks a Senior Python AI Solution Engineer to design and deliver production-grade AI/LLM applications. You will build RAG pipelines, implement AI agents, and integrate APIs to support scalable, secure deployments across cloud environments.

You will collaborate with Technical Leadership to shape project direction, translate business needs into robust implementations, and drive experimentation with model tracking and deployment tools.

Qualifications

• 3+ years of professional software engineering experience in production AI/LLM apps.
• Deep Python experience (3.11+/3.12+).
• Experience with LangChain, LlamaIndex, and Pydantic.
• Knowledge of Hugging Face models/datasets, transformers tokenizers.
• Familiarity with QA, RAG, vector search tech (FAISS, Qdrant, Weaviate).

Responsibilities

• Design and build production-grade AI and LLM apps in Python.
• Develop and maintain RAG pipelines and AI agent architectures.
• Integrate APIs to support AI-driven solutions and deploy across cloud environments.
• Ensure secure, scalable system integration across platforms.
• Collaborate with Technical Leadership to define architecture and roadmap.

Skills

Python

AI/LLM development

RAG pipelines

AI agent frameworks

APIs

Cloud deployment

LangChain

LlamaIndex

Pydantic

Uvicorn/FastAPI

Tools

LangChain

LlamaIndex

Pydantic

Hugging Face

sentence-transformers

tokenizers

uvicorn

FastAPI

Jupyter

MLflow

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.ResponsibilitiesDesign and build production-grade AI and LLM applications using PythonDevelop and maintain RAG pipelines and AI agent architecturesBuild and integrate APIs to support AI-driven solutionsDeploy and manage AI systems across cloud environmentsEnsure secure and scalable system integration across platformsCollaborate with customer Technical Leadership to define project direction and architectureApply analytical rigor to evaluate technical trade-offs and recommend solutionsPrototype and validate AI concepts using appropriate frameworks and toolsSupport experimentation and model tracking throughout the development lifecycleTranslate business requirements into robust technical implementationsRequirements3+ years of professional software engineering experience, with significant hands-on work in production AI and LLM applicationsProficiency in Python 3.11/3.12+ as a primary development languageExpertise in LLM application and agent frameworks such as LangChain, LlamaIndex, and PydanticAIKnowledge of Hugging Face Models/Datasets, sentence-transformers, and tokenizersFamiliarity with Python project and dependency management tools such as uv, venv, and PoetrySkills in code quality tools including Ruff, Pytest, and JupyterBackground in machine learning libraries such as NumPy, pandas/Polars, and scikit-learnUnderstanding of deep learning frameworks such as PyTorch and TensorFlow/KerasCompetency in vector search and RAG infrastructure such as FAISS, Qdrant, Chroma, Weaviate, Milvus, or pgvector with PostgreSQLExperience with AI API and deployment tools such as FastAPI, Pydantic, and UvicornQualifications in containerization and orchestration tools such as Docker and KubernetesCapability to work with data infrastructure technologies such as PostgreSQL, Redis, and Apache KafkaEnglish proficiency at B2 level or higherNice to haveExperience with TRL for LLM post-trainingKnowledge of DSPy for programmatic LLM pipelinesFamiliarity with LiteLLM for unified access to multiple LLM APIsSkills in experiment tracking tools such as MLflow and Weights & BiasesShowcase of AI application UI development using Streamlit, Gradio, or FastAPI with React/Next.js/Angular 19+We offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn