Lead Backend Developer (La Plata)

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 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 International projects with top brands Work with global teams of highly skilled, diverse peers 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 #J-*****-Ljbffr Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pxnlo