Senior AI Engineer – Agent Creation and Orchestration

CI&T

. Architect and build software solutions to meet client needs, from architecture through tested code and production deployment .

Posted 10/8/2026full-timeBrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and building software solutions using modern software architecture principles, with a strong focus on AI-driven development, observability, and compliance with ethics and data security standards.

Highest-signal resume keywords

Node.jsTypeScriptNestJSMicroservicesContext-Data Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software ArchitectureAI DevelopmentEvent-Driven SystemsCI/CDTDDModel Fine-TuningRed TeamingObservabilityAutomationAPIs

Soft Skills

Critical AssessmentDelegationCollaboration

Tools & Technologies

Orchestration FrameworksRAGVector DatabasesSystem PromptsGuardrails

Industry Keywords

Data SecurityPrivacyComplianceEthics

Tech Stack

Tools & technologies

JavaScriptNode.jsSDLCTypeScript

About the role

Key responsibilities & impact

Architect and build software solutions to meet client needs, from architecture through tested code and production deployment
Use the agentic SDLC and AI as primary drivers of development
Build, customize, and orchestrate reusable agents, skills, subagents, commands, and harnesses for the team
Modernize development processes and practices, reducing lead time
Translate functional requirements into viable, simple, and scalable technical solutions
Design and evaluate solutions, agents, and skills using evals, testing, and red teaming
Make token-economy decisions that balance quality and inference cost
Architect agentic solutions using APIs, RAG, tools, orchestration frameworks, runtimes, system prompts, and guardrails
Manage context engineering and context-data pipelines, integrating internal sources and vector databases
Implement observability in application and agent code, and monitor anomalies and degradation
Review and critically assess AI-generated outputs before delivery
Delegate specialized tasks to agents and work as a generalist across the development lifecycle
Deliver production-ready solutions, aligning deployment and operational requirements with the AI Deployment Engineer
Apply practices related to ethics, privacy, data security, and compliance

Requirements

What you’ll need

Experience and deep technical expertise in a specialized technology stack
Strong command of modern software architecture and engineering fundamentals
Knowledge of microservices, event-driven systems, queues, CI/CD, TDD, and automation
Knowledge of agents, skills, subagents, commands, and harnesses
Experience with foundation models via API, RAG, tool orchestration, evals, and multi-agent solutions
Knowledge of orchestration frameworks and runtimes, system prompts, and guardrails
Knowledge of context-data pipelines and vector databases
Knowledge of system observability and monitoring
Knowledge of red teaming for hallucinations, prompt injection, and data leakage
Knowledge of model fine-tuning
Knowledge of ethics, privacy, data security, and compliance
Required technologies: Node.js, TypeScript, and NestJS

Benefits

Comp & perks

Health and dental insurance
Meal and food allowances
Childcare assistance
Extended parental leave
Partnerships with gyms and health and wellness professionals through Wellhub (Gympass) and TotalPass
Profit-Sharing and Results Program
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 parenting course
Partnerships with online course platforms
Language-learning platform
Support and accommodations for people with disabilities
Dedicated Health and Well-being team
Inclusion specialists and employee affinity groups