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Lead Backend Developer
EPAM Systems, Inc. —Desde casa

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Lead Backend Developer

EPAM Systems, Inc. -
Desde casa

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Detalles del empleo

Descripción completa del empleo

We are building a Lead Backend Developer role to deliver dependable AI-driven API services and agentic workflows within our AI Pods team. You will enable language models to interact with internal systems, vector databases, and external tools via orchestration frameworks. You will own API contracts and uptime while applying rigorous practices for evaluation, observability, fallbacks, and cost awareness—apply now

Responsibilities

Design and deliver backend API services alongside LLM orchestration layers
Build and sustain advanced RAG pipelines across ingestion, chunking, embedding, and retrieval optimization
Develop and connect agent tools using LangChain, LangGraph, and possibly MCP (Model Context Protocol)
Ensure security, privacy, enterprise-grade observability, and thorough test coverage across backend workflows
Lead architecture choices and uphold engineering standards within the pod
Coordinate with frontend engineers, data engineers, and infrastructure teams
Own API contracts and service reliability, ensuring graceful failure for AI edge cases
Provide reusable orchestration frameworks and logic intended for downstream developer consumption

Requirements

Proven backend engineering experience (5+ years) building microservices and distributed systems
Hands-on background (2+ years) using Python for high-performance backend services and cloud-native APIs
Deep expertise with AWS, Docker, and ECS/EKS in production environments
Solid knowledge of RESTful API development and API lifecycle best practices
Strong understanding of secure coding practices with well-developed auth/authz fundamentals
Upper-Intermediate English proficiency (B2)

Nice to have

1–2+ years of production experience with AI SDKs such as OpenAI, Anthropic/Claude, or AWS Bedrock
Familiarity with vector stores (Amazon Kendra, OpenSearch) plus embedding strategies and retrieval systems
Direct experience with agentic frameworks such as LlamaIndex
Exposure to AI evaluation tooling or real-time APM platforms (LangSmith, Langfuse, Arize)
1–2+ years with React and TypeScript, along with large-scale EKS deployments
Understanding of agent interoperability patterns (MCP), identity/security topics (IAM, CIAM), and additional 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

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