Lead Backend Developer

RemoteSalary not specified
Argentina

Job Description, Responsibilities & Requirements

About the Position

We are building secure, scalable AI-driven API services in our AI Pods team, using LLM orchestration to connect language models with internal systems and tools. As a Lead Backend Developer, you will own API contracts and reliability while engineering evaluation, observability, fallbacks, and cost-aware patterns for distributed services. Join us and apply now.

Responsibilities

  • Design and implement backend API services paired with LLM orchestration layers
  • Build and maintain advanced RAG pipelines including document ingestion, chunking, embedding, and retrieval tuning
  • Develop and integrate agent tools with LangChain, LangGraph, and potentially MCP (Model Context Protocol)
  • Enforce security, privacy, enterprise-grade observability, and test coverage across backend workflows
  • Lead architecture decisions and uphold engineering standards within the pod
  • Collaborate with frontend engineers, data engineers, and infrastructure teams to deliver end-to-end capabilities
  • Own API contracts and service reliability, ensuring graceful handling of AI edge cases and failures
  • Provide stable, reusable orchestration frameworks and logic intended for downstream developer use

Requirements

  • Proven backend engineering experience (5+ years) focused on microservices and distributed systems
  • Hands-on Python experience (3+ years) building high-performance backend services and cloud-native APIs
  • Expert-level knowledge of AWS, Docker, and ECS/EKS in production environments
  • Solid experience designing and delivering RESTful API services
  • Strong understanding of secure coding practices with dependable auth/authz fundamentals
  • Upper-Intermediate English proficiency (B2)

Nice to Have

  • 2+ years of production experience with AI SDKs such as OpenAI, Anthropic/Claude, or AWS Bedrock
  • Exposure to vector stores (Amazon Kendra, OpenSearch) plus embedding strategies and retrieval systems
  • Practical experience delivering solutions with agentic frameworks like LlamaIndex
  • Hands-on use of AI evaluation tooling or real-time APM platforms such as LangSmith, Langfuse, Arize
  • 2+ years building React and TypeScript features alongside large-scale EKS deployments
  • Familiarity with agent interoperability patterns (MCP), identity/security domains (IAM, CIAM), and additional languages such as Java, Node.js, or Go

We Offer

  • Opportunity to work remotely in Argentina or other locations
  • Be part of a cutting-edge AI Pods team
  • Competitive benefits and conditions

About the Company

Join our innovative team and contribute to the development of secure, scalable AI-driven API services.

Job Details

Company name:
EPAM
Location:
Argentina
Employment Type:
Full-time
Work Mode:
Remote
Posted on TheJob:
Jul 6, 2026
Last checked:
Jul 6, 2026
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