At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
About Us:
At CI&T, our rapid growth is fueled by the innovative solutions we create for our global clients. In this role, you will join a client engagement building an AI-powered tool that extracts business and technical requirements from legacy code and documentation, helping a large US financial services client modernize its systems faster and with less risk. You will work with the agentic SDLC as your way of working and AI as your main build lever.
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
Our benefits:
-Health and dental insurance
-Meal and food allowance
-Childcare assistance
-Extended paternity leave
-Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;
-Profit Sharing and Results Participation (PLR);
-Life insurance
-Continuous learning platform (CI&T University);
-Discount club
-Free online platform dedicated to physical, mental, and overall well-being
-Pregnancy and responsible parenting course
-Partnerships with online learning platforms
-Language learning platform
And many more!
More details about our benefits here: https://ciandt.com/br/pt-br/carreiras
At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here.This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it.
We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.
Responsibilities:
Own the solution end to end, from architecture to tested code running in production, using the agentic SDLC as the way of working
Architect and build the agentic solution: LLM integration through APIs, RAG, tool orchestration, orchestration and runtime frameworks, system prompts, and guardrails
Build and manage the context data pipelines (internal sources and vector databases) that feed the agents with reliable, high-quality inputs
Develop backend services and APIs in Python and the user-facing application in React
Build, customize, and reuse across the team your own agents, skills, subagents, commands, and harness that speed up development, instead of only consuming assistants
Validate the solution with evals, automated tests, and red teaming (hallucinations, prompt injection, and data leaks) before delivery
Critically review AI-generated code and outputs against technical, quality, and business requirements
Make token economy decisions in the design (context size, RAG strategy, number of agent calls) to balance quality and inference cost
Instrument observability in the application and agent code to monitor behavior, quality, and cost
Act as the technical reference for the team: lead the design of complex problems, review code, and mentor peers
Work with the AI Deployment Engineer and the AI Orchestrator so the solution reaches production ready and delivery stays predictable
Apply ethics, privacy, data security, and compliance practices in line with the client's and CI&T's rules
Ensure continuity of delivery and a smooth knowledge transfer of the tool
Requirements:
Senior-level AI Engineer with a solid track record delivering AI-powered applications to production
Strong backend experience in Python (APIs, services, data processing)
Strong frontend experience in React
Hands-on experience building LLM applications: prompt and context engineering, RAG, tool orchestration, and multi-agent designs
Experience with vector databases and context data pipelines
Experience evaluating probabilistic behavior with evals and tests, and awareness of AI red teaming practices
Experience using AI coding agents and building your own agents, skills, or commands to accelerate delivery
Solid software architecture and engineering fundamentals: microservices, event-driven systems, CI/CD, TDD, and observability
Experience with code or document analysis, parsing, or text extraction use cases
Ability to act as a technical reference, reviewing code and mentoring other engineers
Fluent English (B2+ or higher), written and spoken
Nice to Have:
Experience analyzing or modernizing legacy codebases (for example COBOL, Java, .NET, or similar)
Advanced RAG architectures and knowledge graphs
Experience with LLM observability and evaluation tooling
Experience with Azure
Experience fine-tuning models
Familiarity with the financial services or mortgage domain
