···
Log in / Register
AI Software Engineer - Consultant
Negotiable Salary
Indeed
Full-time
Onsite
No experience limit
No degree limit
Praça do Patriarca, 62 - Centro Histórico de São Paulo, São Paulo - SP, 01002-010, Brazil
Favourites
Share
Some content was automatically translatedView Original
Description

Description: Mandatory Requirements * Solid backend development in Node.js (preferably Nest.js) and/or Python. * Microservices architecture and API design (REST and gRPC). * Docker and Kubernetes (deployment, operation, and troubleshooting). * Cloud-native technologies (Azure preferred: AKS, Event Hub, Cosmos DB, Redis, and MongoDB). * CI/CD using Azure DevOps and Git (branching, pull requests, automation). * API security (OAuth 2.0/OIDC, authentication/authorization, secret management). * Experience with messaging and asynchronous communication (SSE, WebSockets). * Practice with observability (logs, metrics, tracing, dashboards, and alerts). * Completed undergraduate degree — official completion certificate required. Preferred Qualifications * Experience with large language models and generative AI. * Proficiency in prompt engineering best practices. * Familiarity with agent/orchestration libraries (e.g., LangChain, LangGraph). * Infrastructure as Code (Terraform, Ansible). Soft Skills * Clear and concise communication, collaboration within cross-functional teams, proactivity, and focus on quality, scalability, and technical governance. * Design, develop, and maintain APIs, SDKs, and platform services (Node.js/Nest.js and/or Python). * Implement integrations and orchestration layers for AI agents and services. * Ensure security, performance, resilience, and observability in distributed (cloud-native) systems. * Collaborate with squads and support technical decision-making (design documents/RFCs, code reviews). * Enhance CI/CD (Azure DevOps), DevOps/Infrastructure-as-Code best practices, and automation. * Strengthen quality culture (testing, linters, standards). * Build microservices with synchronous (REST/gRPC) and asynchronous (messaging, SSE/WebSockets) communication. * Production-grade Kubernetes and Docker; network, storage, and scalability troubleshooting. * Observability (logs, metrics, tracing, alerts) and incident response. * Automate routine tasks and integrations (inference scripts, data processing, API testing). * Handle HTTP requests/JSON and prompt contexts in AI solutions. 2512110202491859149

Source:  indeed View original post
João Silva
Indeed · HR

Company

Indeed
Cookie
Cookie Settings
Our Apps
Download
Download on the
APP Store
Download
Get it on
Google Play
© 2025 Servanan International Pte. Ltd.