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

- 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