4 hours ago
Brazil (city not specified)Senior
Responsibilities
- Own the solution end to end, from architecture through tested production code, using the agentic SDLC.
- Architect and build LLM integrations, RAG systems, tool orchestration, runtime frameworks, system prompts, and guardrails.
- Build and manage context data pipelines using internal sources and vector databases.
- Develop backend services and APIs in Python and the user-facing application in React.
- Create and reuse agents, skills, subagents, commands, and development harnesses to accelerate delivery.
- Validate solutions with evaluations, automated tests, and red teaming for hallucinations, prompt injection, and data leaks.
- Review AI-generated code and outputs against technical, quality, and business requirements.
- Optimize context size, RAG strategy, agent calls, inference cost, application behavior, quality, and observability.
- Act as the team’s technical reference by leading complex designs, reviewing code, and mentoring peers.
- Collaborate with AI Deployment and AI Orchestrator engineers to reach production readiness and maintain predictable delivery.
- Apply ethics, privacy, data security, and compliance practices and ensure knowledge transfer and delivery continuity.
Requirements
- Senior-level AI engineering experience delivering AI-powered applications to production.
- Strong backend experience with Python, including APIs, services, and data processing.
- Strong frontend experience with React.
- Hands-on experience with LLM applications, prompt and context engineering, RAG, tool orchestration, and multi-agent designs.
- Experience with vector databases, context data pipelines, evaluations, automated testing, and AI red teaming practices.
- Experience using AI coding agents and building custom agents, skills, or commands.
- Strong software architecture and engineering fundamentals, including microservices, event-driven systems, CI/CD, TDD, and observability.
- Experience with code or document analysis, parsing, or text extraction use cases.
- Ability to serve as a technical reference, review code, and mentor engineers.
- Fluent written and spoken English at B2 level or higher.
- Preferred experience analyzing or modernizing legacy codebases such as COBOL, Java, or .NET.
- Preferred experience with advanced RAG architectures, knowledge graphs, LLM observability and evaluation tooling, Azure, model fine-tuning, or financial services and mortgage domains.
Benefits
- Health and dental insurance.
- Meal and food allowance.
- Childcare assistance and extended paternity leave.
- Gym, health, and wellness partnerships through Wellhub (Gympass) and TotalPass.
- Profit Sharing and Results Participation (PLR).
- Life insurance.
- Continuous learning through CI&T University and partnerships with online learning platforms.
- Discount club, well-being platform, language learning platform, and pregnancy and responsible parenting course.
- Inclusion support, accommodations, health and well-being resources, inclusion specialists, and affinity groups.
About CI&T
CI&T is a public IT services firm that builds and runs digital products for large enterprises, combining consulting with end-to-end software engineering. It delivers AI deployment, cloud modernization, data platforms, mobile/web development, and systems integration through project-based and managed engagements. Founded in 1995 and headquartered in New York, it operates globally and is listed on the NYSE (CINT).