Lead Python Developer

EPAM Systems, Inc.; Colombia; A distancia; COP 120.000.000 - 180.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Paid time off & sick leave

Upskilling & certification programs

LinkedIn Learning access

Global career opportunities

Descripción de la vacante

EPAM Systems, Inc. seeks a Lead Python Developer to design and implement backend API infrastructure and orchestration, enabling integration with large language models and Retrieval-Augmented Generation workflows. You will collaborate with frontend, data engineering, and infra teams to deliver cohesive, scalable solutions.

The role emphasizes secure coding, cloud-native APIs, and leading development efforts while advancing architectural direction within a dynamic engineering environment.

Formación

• At least five years of backend engineering with microservices.

Responsabilidades

• Design backend API infrastructure and orchestration for LLM integration.
• Develop and maintain Retrieval-Augmented Generation (RAG) workflows.
• Build and interconnect agent-driven tooling with LangChain/LangGraph.
• Uphold security, data confidentiality, and test coverage across backend ops.
• Influence architectural direction and set engineering standards.

Conocimientos

Python

Backend engineering

Microservices

Distributed systems

Team leadership

AWS

Docker

RESTful APIs

Security & auth

LangChain

Herramientas

LangChain

LangGraph

MCP

ECS/EKS

Terraform

OpenSearch / Amazon Kendra

React

TypeScript

Descripción del empleo

We're seeking a Lead Python Developer bringing substantial, practical experience to strengthen our engineering team. This position provides an opportunity to contribute to cutting-edge initiatives that advance the frontiers of contemporary software development. You'll partner with a skilled team of individuals who prioritize strong technical execution alongside inventive approaches to problem-solving. For those enthusiastic about crafting resilient, future-ready systems and eager to advance within an energetic team environment, this is a fitting opportunity.ResponsibilitiesDesign backend API infrastructure and orchestration frameworks that enable integration with large language modelsDevelop and maintain advanced Retrieval-Augmented Generation (RAG) workflows, spanning document processing, text segmentation, embedding creation, and refined retrieval mechanismsConstruct and interconnect agent-driven tooling through frameworks like LangChain and LangGraph, incorporating Model Context Protocol (MCP) as appropriateUphold strong security protocols, data confidentiality, enterprise-grade system visibility, and thorough testing across backend operationsTake an active part in influencing architectural direction and establishing technical standards across the engineering groupPartner with frontend engineers, data engineering colleagues, and infrastructure teams to deliver unified, well-integrated solutionsRequirementsAt least five years of hands-on backend engineering work centered on microservices architecture and distributed system principlesA year or more spent overseeing and directing development teamsProven capability using Python to construct high-performance backend systems and cloud-native APIsExperience building solutions leveraging Generative AI capabilitiesApplied know-how using LangChain to develop language model-based applicationsFamiliarity with AWS, Docker, container management platforms including ECS/EKS, and designing RESTful APIsStrong grounding in secure coding approaches paired with solid authentication and authorization expertiseSufficient communication ability with English proficiency at B2 level or higher, supporting accurate interpretation of business requirements and their conversion into agent-driven technical designsNice to havePractical exposure to agent-oriented frameworks including LangChain, LlamaIndex, or LangGraphUnderstanding of Model Context Protocol (MCP) for enabling consistent context exchange across AI systemsEase working with frontend tools, specifically React and TypeScriptBackground applying Terraform for managing and provisioning infrastructureHands-on familiarity with RAG pipeline elements, such as vector databases like Amazon Kendra or OpenSearch, plus embedding methods and retrieval system architectureHistory of building new or modernizing existing large-scale, intricate technical systemsWe 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.