Senior Python Backend Lead for AI API & RAG Orchestration

EPAM Systems; Argentina; On-site; ARS 1,800,000 - 3,600,000; Full time

Job summary

EPAM Systems is seeking a Lead Python Backend Developer to deliver secure, scalable AI-driven API services and agentic workflows for LLM integration. You will own API contracts, RAG orchestration, and service reliability across distributed systems.

You will collaborate with frontend, data, and infrastructure teams to ship cohesive solutions, implement end-to-end RAG pipelines, ensure security and observability, and drive architecture choices within the pod.

Qualifications

• 5+ years of backend experience in microservices and distributed systems.
• Proficiency in Python for backend services and cloud-native APIs.
• Hands-on experience with AWS, Docker, and ECS/EKS.
• English proficiency at B2 level or higher.

Responsibilities

• Design and deliver backend API services plus LLM orchestration layers.
• Implement and operate end-to-end RAG pipelines, covering document ingestion, chunking, embedding, and retrieval optimization.
• Develop and wire up agent tools using orchestration frameworks.
• Ensure security, privacy, enterprise-grade observability, and test coverage across all backend workflows.
• Drive architecture choices and help shape engineering standards within the pod.
• Collaborate with frontend engineers, data engineers, and infrastructure teams to ship cohesive solutions.
• Own API contracts and end-to-end service reliability, ensuring AI edge cases fail gracefully.
• Integrate LLMs with rigorous systems engineering, including evaluation, observability, fallback handling, and cost awareness.

Skills

Backend experience

Distributed systems

Python

English B2+

Tools

AWS

Docker

ECS/EKS

REST API design

Job description

EPAM Systems is seeking a Lead Python Backend Developer to deliver secure, scalable AI-driven API services and agentic workflows for LLM integration. You will own API contracts, RAG orchestration, and service reliability across distributed systems.

You will collaborate with frontend, data, and infrastructure teams to ship cohesive solutions, implement end-to-end RAG pipelines, ensure security and observability, and drive architecture choices within the pod.