Lead Python AI Solution Engineer

EPAM Systems; Colombia; Remote; COP 110,000,000 - 200,000,000; Full time

Job summary

EPAM Systems, Inc. seeks a Lead Python AI Solution Engineer to build production AI and LLM solutions in Python. You will design RAG pipelines and AI agent architectures, connect APIs, and collaborate with client leadership to drive architecture and delivery.

The role emphasizes production-grade Python development, cloud deployment, and scalable, secure integration across services, with collaboration across global teams.

Qualifications

• 5+ years of professional software engineering experience delivering production AI/LLM apps.
• Strong Python (3.11/3.12+) programming capability.
• Experience with LLM apps and agent frameworks (LangChain, LlamaIndex, PydanticAI).
• Familiar with Hugging Face models/datasets, sentence-transformers, tokenizers; tooling like uv, venv, Poetry.

Responsibilities

• Design and deliver production-ready AI/LLM applications in Python.
• Develop and sustain RAG pipelines and AI agent architectures.
• Integrate APIs to enable AI-driven capabilities across platforms.

Skills

Python proficiency

LLM application development

English communication

Analytical judgment

Tools

LangChain

LlamaIndex

PydanticAI

Hugging Face

sentence-transformers

tokenizers

uv

venv

Poetry

Ruff

Pytest

Jupyter

NumPy

pandas

scikit-learn

PyTorch

TensorFlow

Keras

FAISS

Qdrant

Chroma

Weaviate

Milvus

pgvector

PostgreSQL

Redis

Apache Kafka

FastAPI

Uvicorn

Job description

We are looking for a 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.ResponsibilitiesDesign and deliver production-ready AI and LLM applications in PythonDevelop and sustain RAG pipelines along with AI agent architecturesImplement and connect APIs that enable AI-driven capabilitiesDeploy and operate AI systems across cloud environmentsEnsure secure, scalable integration across platforms and servicesCollaborate with client Technical Leadership to set project direction and architectureEvaluate technical trade-offs with strong analytical judgment and recommend solutionsPrototype and prove AI concepts using the right frameworks and toolsSupport experimentation and model tracking throughout the development lifecycleTranslate business requirements into dependable technical implementationsRequirements5+ years of professional software engineering experience, including substantial hands-on delivery of production AI and LLM applicationsHigh proficiency with Python 3.11/3.12+ as your primary programming languageDeep experience with LLM application and agent frameworks such as LangChain, LlamaIndex, and PydanticAIWorking knowledge of Hugging Face Models/Datasets, sentence-transformers, and tokenizersHands-on familiarity with Python project and dependency tooling such as uv, venv, and PoetrySolid command of code quality and development tools including Ruff, Pytest, and JupyterStrong background with machine learning libraries such as NumPy, pandas/Polars, and scikit-learnPractical understanding of deep learning frameworks such as PyTorch and TensorFlow/KerasProven track record implementing vector search and RAG infrastructure such as FAISS, Qdrant, Chroma, Weaviate, Milvus, or pgvector with PostgreSQLHands-on experience building AI APIs and deployment components with FastAPI, Pydantic, and UvicornDemonstrated skills in containerization and orchestration using Docker and KubernetesExperience working with data infrastructure technologies such as PostgreSQL, Redis, and Apache KafkaEnglish proficiency at B2 level (Upper-Intermediate) or higherNice to haveExperience applying TRL for LLM post-trainingKnowledge of DSPy for building programmatic LLM pipelinesFamiliarity with LiteLLM to unify access to multiple LLM APIsExperience with experiment tracking tools such as MLflow and Weights & BiasesPortfolio of AI application UI work 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 LinkedInEPAM 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.