
5001 - 10000 employees
Founded 1995
đŒ Consulting
đ„ Healthcare
đŁ Marketing
đ° $5.5M Venture Round on 2014-04
Consulting âą Healthcare âą Marketing
CI&T is a global tech transformation specialist focusing on helping organizations navigate their technology journey. With services spanning from application modernization and cloud solutions to AI-driven data analytics and customer experience, CI&T empowers businesses to accelerate their growth and maximize operational efficiency. The company emphasizes digital product design, strategy consulting, and immersive experiences, ensuring a robust support system for enterprises in various industries.
đ„ 4 minutes ago
Where this job comes from
Posted on CI&T's careers page, not through a job board
First seen by Remote Rocketship 4 minutes ago

5001 - 10000 employees
Founded 1995
đŒ Consulting
đ„ Healthcare
đŁ Marketing
đ° $5.5M Venture Round on 2014-04
Consulting âą Healthcare âą Marketing
CI&T is a global tech transformation specialist focusing on helping organizations navigate their technology journey. With services spanning from application modernization and cloud solutions to AI-driven data analytics and customer experience, CI&T empowers businesses to accelerate their growth and maximize operational efficiency. The company emphasizes digital product design, strategy consulting, and immersive experiences, ensuring a robust support system for enterprises in various industries.
âą Architect and build client software solutions from architecture through tested code âą Build, customize, and orchestrate agents, skills, subagents, commands, and harnesses âą Reuse development agents and harnesses across the team to modernize software development and reduce lead time âą Apply modern software architecture and engineering fundamentals to build, assess, and critique code and solutions âą Translate functional requirements into viable, simple, and scalable technical solutions âą Design and assess solutions, agents, and skills using evals, tests, and red teaming âą Make token economy decisions to balance solution quality and inference cost âą Architect and build agentic solutions using foundation-model APIs, RAG, tool orchestration, runtime frameworks, prompts, and guardrails âą Manage engineering and context data pipelines integrating internal sources and vector databases âą Implement application and agent observability instrumentation and monitor system behavior âą Review and critique AI-generated outputs against technical, quality, and business requirements âą Delegate specialized tasks to agents while maintaining technical depth in the specialty stack âą Deliver production-ready solutions aligned with deployment and operation requirements âą Apply ethics, privacy, data security, and compliance practices âą Lead solution design for complex problems and own solutions end to end âą Establish reusable agents, skills, and harnesses across the team âą Guide prompt engineering, evals, and red teaming decisions âą Mentor peers, review code and standards, and collaborate with AI Deployment Engineers and AI Orchestrators
âą Experience architecting and building software solutions from architecture through tested code âą Ability to work in any technology stack âą Experience using agentic SDLC and AI-assisted software development âą Knowledge of modern software architecture and engineering fundamentals âą Experience with microservices, event-driven systems, queues, CI/CD, TDD, and automation âą Ability to translate functional requirements into simple, scalable technical solutions âą Experience designing and assessing solutions and agents with evals, testing, and red teaming âą Knowledge of hallucinations, prompt injections, and data leaks âą Ability to make token economy decisions involving context size, RAG strategy, and agent calls âą Experience with foundation model APIs, RAG, tool orchestration, orchestration and runtime frameworks, system prompts, and guardrails âą Experience managing context data pipelines, internal data sources, and vector databases âą Experience implementing observability instrumentation in applications and agent code âą Ability to critically review AI-generated outputs âą Knowledge of ethics, privacy, data security, and compliance practices âą Ability to fine-tune models rather than train them from scratch
âą Health and dental insurance âą Meal and food allowance âą Childcare assistance âą Extended paternity leave âą Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass âą Profit Sharing and Results Participation (PLR) âą Life insurance âą Continuous learning platform (CI&T University) âą Discount club âą Free online platform dedicated to physical, mental, and overall well-being âą Pregnancy and responsible parenting course âą Partnerships with online learning platforms âą Language learning platform âą Inclusion support and accommodations during the selection process âą Dedicated Health and Well-being team, inclusion specialists, and affinity groups
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