Lead Python Developer

EPAM Systems; Argentina; Sur place; ARS 136 660 000 - 197 397 000; Plein temps

Avantages offerts par ce poste

Healthcare benefits

Paid time off

Global career opportunities

Learning & development funds

Résumé du poste

EPAM Systems is seeking a Lead Python Developer to drive backend architecture for AI-driven projects. You will collaborate with a skilled team to build scalable microservices, leverage LangChain-based tooling, and implement robust security and observability across cloud-native APIs.

Ideal candidates bring 5+ years in backend engineering, leadership experience, and hands-on Generative AI expertise, with strong Python skills and experience in AWS, Docker, and REST APIs.

Qualifications

• 5+ years of backend engineering experience with microservices and distributed systems design
• 1+ year of guiding and managing engineering teams
• Strong Python background for high-performance backend and cloud-native API solutions
• Hands-on background with Generative AI applications
• Experience with LangChain for language-model-driven apps
• Working knowledge of AWS, Docker, ECS/EKS, and RESTful APIs
• Secure development practices with strong authentication/authorization
• English communication at B2 level or higher

Responsabilités

• Shape backend API architecture to support large language models connectivity
• Develop RAG pipelines including document handling, embeddings, and retrieval improvements
• Link agent-based tools using LangChain/LangGraph and MCP
• Maintain security, data privacy, observability, and backend testing
• Contribute to architectural decisions and establish technical standards
• Coordinate with frontend, data engineering, and infrastructure teams

Connaissances

Python

Backend architecture

Distributed systems

Team leadership

Generative AI

LangChain

AWS

Docker

REST APIs

Security

English (B2+)

Outils

LangGraph

Terraform

OpenSearch

Amazon Kendra

Description du poste

We're on the lookout for a Lead Python Developer who brings deep, hands-on technical experience to enhance our engineering organization. This role presents a chance to work on forward-thinking projects that expand what's possible in modern software engineering. You'll join forces with a capable group of professionals who value both technical rigor and creative problem-solving approaches. This opportunity suits individuals passionate about developing durable, innovative systems and looking to grow within a lively, fast-moving team setting.

Responsibilities

• Shape backend API architecture and orchestration systems that support connectivity with large language models
• Build out and sustain sophisticated Retrieval-Augmented Generation (RAG) processes, including document handling, text chunking, embedding production, and enhanced retrieval methods
• Develop and link together agent-based tools using frameworks such as LangChain and LangGraph, applying Model Context Protocol (MCP) where suitable
• Maintain rigorous security standards, safeguard data privacy, ensure enterprise-level observability, and deliver comprehensive testing across all backend functions
• Contribute directly to architectural decision-making and help define technical standards for the engineering team
• Coordinate with frontend developers, data engineering staff, and infrastructure professionals to produce cohesive, integrated outcomes

Requirements

• Five-plus years of practical experience in backend engineering, emphasizing microservices and distributed systems design
• One or more years spent guiding and managing engineering teams
• Solid track record leveraging Python for building high-performance backend infrastructure and cloud-native API solutions
• Hands-on background developing applications built on Generative AI technology
• Working experience with LangChain for creating applications driven by language models
• Working knowledge spanning AWS, Docker, container orchestration solutions such as ECS/EKS, and RESTful API architecture
• Firm understanding of secure development practices combined with strong authentication and authorization capabilities
• Adequate English communication skills at B2 proficiency or above, supporting clear comprehension of business needs and their translation into agent-focused technical solutions

Nice to have

• Hands-on background with agent-based frameworks such as LangChain, LlamaIndex, or LangGraph
• Working knowledge of Model Context Protocol (MCP) supporting uniform context sharing among AI systems
• Comfortable handling frontend technologies, particularly React and TypeScript
• Experience utilizing Terraform to provision and manage infrastructure
• Direct experience with RAG pipeline components, including vector database tools like Amazon Kendra or OpenSearch, along with embedding approaches and retrieval system building
• Background either building fresh systems or updating existing large-scale, complex technical environments

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 leaveUpskilling, reskilling and certification courses
• Unlimited access to the LinkedIn 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 LinkedIn