[Job- 32175] Senior Back End Developer (Python/Golang & AI Integration), Brazil
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 1d ago
The date the source published, not the day we noticed it (2026-10-09). Last seen at its source just now.
We have tracked this listing since 9 Oct 2026 (1 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Brazil
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $93.8k–157.1k/yr
Middle 50% of 16 listings that do state pay — Engineering · Senior · Brazil · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Lever employer's own board first seen 1d ago · last seen just now
The listing
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.
- 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.
- 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.