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CI&T

AI Developer, Java

CI&T

AI Developer specializing in Java and AI integrations within software development life cycle for CI&T's tech transformations.

Posted 6/8/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AWSJavaSDLC

About the role

Key responsibilities & impact
  • Operate the SDLC natively with AI
  • Consistent use of automations with agents that perform multi-step tasks
  • Structure specifications that feed the AI
  • Maintain quality control and operate this in production securely

Requirements

What you’ll need
  • Experience programming with Java
  • AWS (infrastructure as code IAC)
  • Spec-driven development (specification as the primary input to the AI)
  • Strong command of the SDLC (design → build → test → deploy → operate)
  • Advanced use of AI in development (code generation, testing, refactoring, debugging)
  • Construction of agents (multi-step, tool usage, planning + execution)
  • Creation of reusable skills and composition of capabilities
  • Integration via MCP (Model Context Protocol) or equivalent
  • Creation of slash-commands / operational interfaces based on structured prompts
  • Orchestration of workflows (multi-agent or human + agent)
  • Integration with tools (Git, CI/CD, issue tracking, observability)
  • Critical evaluation of AI outputs (quality, safety, consistency)

Benefits

Comp & perks
  • Health and dental insurance
  • Meal and food allowance
  • Childcare assistance
  • Extended parental leave
  • Partnerships with gyms and health & wellness professionals via Wellhub (Gympass) TotalPass
  • Profit sharing (PLR)
  • Life insurance
  • Continuous learning platform (CI&T University)
  • Discount club
  • Free online platform dedicated to promoting physical and mental health and well-being
  • Pregnancy and responsible parenthood course
  • Partnerships with online course platforms
  • Language learning platform
  • And many more

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
JavaAWSspec-driven developmentSDLCAI in developmentconstruction of agentsMCPslash-commandsworkflow orchestrationcritical evaluation of AI outputs