Senior Backend Developer, AI Pods (Argentina)

Senior Backend Developer, AI Pods (Argentina)

24 may
|
EPAM Systems
|
Argentina

24 may

EPAM Systems

Argentina

We are seeking a Senior Backend Developer to join our AI Pods team and build 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. You will treat LLMs as components in a secure, scalable distributed system, owning API contracts and service reliability end-to-end while integrating LLMs using rigorous systems engineering practices including evaluation, observability, fallback handling and cost awareness.

Responsibilities

Design and build backend API services and LLM orchestration layers

Implementation and maintenance of 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)

Ensure security, privacy, enterprise-grade observability and test coverage for all backend workflows

Contribute to architecture decisions and engineering standards within the pod

Collaboration with frontend engineers, data engineers and infrastructure teams

Ownership of API contracts and service reliability, ensuring AI edge cases fail gracefully

Build reliable, reusable orchestration frameworks and logic for downstream developer consumption

Requirements

3+ years of backend engineering experience focused on microservices and distributed systems





2+ years of proficiency in Python for high-performance backend services and cloud-native APIs

Expertise in AWS, Docker and ECS/EKS

Background in RESTful APIs

Knowledge of secure coding practices and strong auth/authz fundamentals

Fluent communication skills in English at a B2+ level

Nice to have

1–2+ years of hands-on experience with AI SDKs such as OpenAI, Anthropic/Claude or AWS Bedrock in production

Familiarity with vector databases (Amazon Kendra, OpenSearch), embedding strategies and retrieval systems

Hands-on experience with agentic frameworks such as LangChain, LlamaIndex or LangGraph

Skills in AI evaluation tooling or real-time APM (LangSmith, Langfuse, Arize)

1–2+ years of React and TypeScript, experience deploying to EKS environments at scale

Understanding of agent interoperability patterns (MCP), identity/security domains (IAM, CIAM) and 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

General career opportunities

Volunteer and community involvement opportunities

EPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

📌 Senior Backend Developer, AI Pods (Argentina)
🏢 EPAM Systems
📍 Argentina

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