Senior Backend Developer, AI Pods

EPAM Systems; Argentina; Hybrid; ARS 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Healthcare benefits

Unlimited LinkedIn Learning access

Global career opportunities

Paid time off & sick leave

Employee groups and culture recogniton

Job summary

EPAM Systems is seeking a Senior Backend Developer to join AI Pods, building robust AI-powered API services and agent workflows. You will design backend services, own contracts, ensure reliability, and integrate LLMs with secure, scalable architectures.

You will work with Python, AWS, Docker, and modern orchestration tools, contributing to RAG pipelines, security practices, and cross-functional collaboration with data and infrastructure teams.

Qualifications

• 3+ years in backend engineering with microservices and distributed systems.
• Proficient in Python for high-performance cloud-native APIs.
• Familiar with AWS, Docker, ECS/EKS and RESTful APIs.
• Knowledge of secure coding and auth/authz fundamentals, English B2+.

Responsibilities

• Design and build backend API services and LLM orchestration layers.
• Own API contracts and service reliability end-to-end with graceful failure handling.
• Integrate LLMs with rigorous systems engineering, observability, and cost awareness.
• Develop and optimize RAG pipelines for ingestion, embedding, and retrieval.
• Build agent tools using LangChain/LangGraph and ensure secure, scalable workflows.

Skills

Backend engineering

Python

AWS

Docker

REST APIs

Security fundamentals

English B2+

Tools

ECS/EKS

LangChain

LangGraph

OpenAI/AI SDKs

Job description

We are seeking a Senior Backend Developer to join our AI Pods team, building robust AI-powered API services and agentic workflows. This role focuses on language model interaction with internal systems, vector databases, and external tools via orchestration frameworks, treating LLMs as components in a secure, scalable distributed system.

Responsibilities

• Design and build backend API services and LLM orchestration layers
• Own API contracts and service reliability end-to-end, ensuring AI edge cases fail gracefully
• Integrate LLMs using rigorous systems engineering, bake in evaluation, observability, fallback handling, and cost awareness
• Implement and maintain complex RAG pipelines, including document ingestion, chunking, embedding, and retrieval optimization
• Develop and connect agent tools using LangChain, LangGraph, and potentially MCP (Model Context Protocol)
• Build reliable, reusable orchestration frameworks and logic for downstream developer consumption
• Ensure security, privacy, enterprise-grade observability, and test coverage across all backend workflows
• Contribute to architecture decisions and engineering standards within the pod
• Collaborate with frontend engineers, data engineers, and infrastructure teams

Requirements

• 3+ years of backend engineering experience, focused on microservices and distributed systems
• Proficiency in Python for high-performance backend services and cloud-native APIs
• Familiarity with AWS, Docker, and ECS/EKS
• Knowledge of RESTful APIs
• Understanding of secure coding practices and strong auth/authz fundamentals
• English proficiency at B2 level or higher

Nice to have

• 1+ years of hands-on experience with AI SDKs (OpenAI, Anthropic/Claude, AWS Bedrock, or equivalent) in production
• Practical experience with vector databases (Amazon Kendra, OpenSearch), embedding strategies, and retrieval systems
• Hands-on experience with LangChain, LlamaIndex, or LangGraph
• Familiarity with AI evaluation tooling or real-time APM (LangSmith, Langfuse, Arize)
• Skills in React and TypeScript
• Experience deploying to EKS environments at scale
• Understanding of agent interoperability patterns (MCP)
• Knowledge of identity/security domain (IAM, CIAM)
• Flexibility to use secondary languages such as Java, Node.js, or Go

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 leave
• Upskilling, 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