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We are looking for a Senior Backend Developer to come aboard our AI Pods team and craft dependable AI-powered API services along with agentic workflows. The position is centered on enabling language models to interact with internal systems, vector databases and external tools through orchestration frameworks. You will treat LLMs as building blocks within a secure, scalable distributed environment, taking full ownership of API contracts and service reliability while embedding LLMs via disciplined systems engineering practices spanning evaluation, observability, fallback handling and cost awareness.

Responsibilities

Architect and develop backend API services along with LLM orchestration layers

Build and sustain sophisticated RAG pipelines covering document ingestion, chunking, embedding and retrieval optimization

Create and wire up agent tools leveraging LangChain, LangGraph and potentially MCP (Model Context Protocol)

Guarantee security, privacy, enterprise-grade observability and test coverage throughout all backend workflows

Shape architecture decisions and engineering standards inside the pod

Partner with frontend engineers, data engineers and infrastructure teams

Take ownership of API contracts and service reliability, ensuring graceful failure of AI edge cases

Deliver dependable, reusable orchestration frameworks and logic intended for downstream developer use

Requirements

3+ years in backend engineering with a focus on microservices and distributed systems





2+ years of Python proficiency applied to high-performance backend services and cloud-native APIs

Expertise in AWS, Docker and ECS/EKS

Background in RESTful API development

Knowledge of secure coding practices together with solid auth/authz fundamentals

Upper-Intermediate English language proficiency (B2)

Nice to have

1–2+ years of practical production usage of AI SDKs including OpenAI, Anthropic/Claude or AWS Bedrock

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

Direct experience working with agentic frameworks like LlamaIndex

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

1–2+ years applying React and TypeScript, together with large-scale EKS deployments

Understanding of agent interoperability patterns (MCP), identity/security spaces (IAM, CIAM) plus additional languages like 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

Integral career opportunities

Volunteer and community involvement opportunities

EPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/py95x

📌 Senior Backend Developer (Argentina)
🏢 EPAM Systems
📍 Argentina