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Caixa Vida e Previdência

AI Engineer

Caixa Vida e Previdência

AI Engineer at Caixa Vida e Previdência focused on building and operating production AI systems. Work includes LLMs, RAG, and corporate system integration.

Posted 7/3/2026full-timeBarueri • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AzureDockerJavaScriptKubernetes.NETNode.jsSQL

About the role

Key responsibilities & impact
  • Design, build, and operate production AI solutions with a focus on LLMs, RAG, agents, and integration with corporate systems
  • Develop AI solutions integrated with corporate systems
  • Build pipelines using LLMs, RAG, and AI agents
  • Implement APIs, microservices, and distributed architectures
  • Design scalable and resilient solutions
  • Integrate AI with databases and legacy systems
  • Monitor performance, cost, and quality of production solutions
  • Ensure governance, security, and engineering best practices

Requirements

What you’ll need
  • Software engineering
  • Experience with .NET / C#
  • REST APIs and microservices
  • Distributed architecture
  • Node.js (frontend or APIs)
  • Azure (App Services, Functions, Storage)
  • Azure AI / Azure OpenAI / Foundry
  • Authentication (Entra ID, RBAC)
  • Cloud deployment and operations
  • Integration with LLM APIs
  • Prompt engineering in production
  • Understanding of limitations (hallucination, cost, latency)
  • Evaluation of response quality
  • Embeddings
  • Vector databases (e.g., Azure AI Search)
  • Document indexing pipelines
  • Concepts of chunking, retrieval, and grounding
  • Agent orchestration (multi-step, tools)
  • Integration with corporate APIs
  • Automations and workflows
  • Cosmos DB and SQL Server
  • Data modeling for AI
  • Document ingestion pipelines
  • Designing scalable solutions
  • Integration with legacy systems
  • Integration between APIs, AI, and data
  • Observability (logs and metrics)
  • Cost and performance monitoring
  • CI/CD
  • Docker/Kubernetes (desirable)
  • Multi-agent experience
  • Model evaluation frameworks
  • Fine-tuning and embeddings tuning
  • Multimodal AI
  • Experience with real production projects using LLMs

Benefits

Comp & perks
  • Profit sharing
  • Flexible hours
  • Meal and food allowance
  • Wellhub
  • Transportation allowance
  • Health insurance
  • Dental plan
  • Pharmacy assistance
  • Childcare and nanny assistance
  • Life insurance
  • Travel insurance
  • Pension plan
  • Maternity kit
  • Maternity leave
  • Paternity leave

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
.NET / C#REST APIsMicroservicesDistributed ArchitectureNode.jsAzurePrompt EngineeringDocument Indexing PipelinesData Modeling For AICI/CD