[Job- 32405] Senior Back End Developer (Python/Golang, AI Integration & SAP), Brazil

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.

We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.

We are looking for a Senior Backend Engineer to design, develop, and scale high-performance backend services, integrating AI capabilities into modern distributed systems. This role combines strong backend engineering expertise with hands-on experience in LLM integrations, Retrieval-Augmented Generation (RAG), and tool calling, leveraging technologies such as Go, Python, and Microsoft Azure.

The ideal candidate will bring a solid understanding of microservices architecture, event-driven systems, distributed caching, and resilient service design to build reliable, scalable, and AI-enabled backend solutions.

Responsibilities

Backend Architecture & Development: Design, develop, and maintain scalable backend services and APIs using Go and Python, applying microservices and event-driven architecture principles to support high-performance, distributed applications.

AI & LLM Integration

Integrate LLM capabilities into backend services, implementing RAG pipelines, tool calling, and AI orchestration patterns to enable intelligent, context-aware application workflows.

Cloud Infrastructure & Performance Optimization

Build and integrate cloud-native services on Microsoft Azure, implementing distributed caching strategies with Redis and optimizing service performance, scalability, and resource utilization.

Reliability & Distributed Systems Engineering

Design resilient backend architectures by implementing fault tolerance, retries, timeouts, and appropriate error-handling strategies, ensuring reliable communication and execution across distributed services and AI-powered workflows.

Requirements

Languages: Go (Golang) and Python.

SAP integration (required)

S/4HANA and ERP via OData, IDocs, BAPIs, RFCs, APIs and middleware.

Preferred

BTP, CPI, MDG, Variant Configuration.

Azure integration

APIM, Service Bus, Event Hubs, PostgreSQL, SQL, Entra ID, OAuth 2.0 and OIDC, Key Vault, networking, IaC.

Caching (required)

Redis, distributed caching, cache-aside, invalidation.

AI (lighter)

LLM integration, tool calling, RAG, and AI coding tools (Codex, Claude Code, Copilot). Architecture: microservices, event-driven systems, resiliency and retries.

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