Itaú Unibanco

Full-stack Engineer

• Work on the engineering of CEI (Itaú ATM)
• Work at Itaú’s CTO office twice a week
• Provide cross-functional technical support to all GPM squads
• Work across the architecture and peripherals layer through to satellite systems within the self-service ecosystem
• Spend approximately 80% of the time on backend and cloud development, with some frontend involvement
• Exercise cross-functional technical influence
• Participate in architecture discussions
• Execute and evaluate POCs
• Lead innovation initiatives
• Provide technical support to squads
• Participate in strategic decision-making
• Serve as a technical reference for the community

Software Engineering Specialist – ATM and Cloud, AWS

Machine Learning Engineer

• Develop RAG and agent memory solutions for production environments
• Optimize semantic search using embeddings and reranking techniques, such as bi-encoders and cross-encoders
• Build and evolve context-retrieval pipelines focused on scalability, availability, and performance
• Conduct experiments and benchmarks to evaluate and compare models
• Develop solutions according to engineering best practices, including testing, CI/CD, IaC, and observability
• Contribute to technical and architectural decisions related to the Generative AI platform
• Work with Generative AI, Machine Learning, software engineering, and cloud technologies
• Work across the full lifecycle, from model experimentation and evaluation to building robust production solutions
• Make an impact on the bank’s digital products at scale

Senior Machine Learning Engineering Analyst – Artificial Intelligence

• Develop backend applications
• Support technical refinement sessions and solution design
• Implement quality strategies, including unit, integration, and performance testing
• Ensure the platform’s scalability, resilience, and high availability
• Contribute to the Build and Run of products
• Enhance solutions that support the beginning of the credit journey, from registration through application tracking
• Help transform the credit experience by making the process simpler, smoother, and more reliable for commercial teams and end customers

Mid-Level Backend Java Software Engineer

AI Engineer

• Transform complex business challenges into scalable solutions through Artificial Intelligence, software engineering, and distributed architecture
• Build and evolve intelligent agents that support decisions related to risk, credit, capital, and operational efficiency
• Partner with business, product, and technology teams
• Develop Generative AI-based applications and agents
• Build integrations, APIs, and services connected to the corporate ecosystem
• Implement solutions using LLMs, RAG, semantic search, and knowledge bases
• Contribute to the evolution of agent-oriented architectures
• Ensure solution observability, quality, security, and scalability
• Participate in the entire development lifecycle, from conception through production
• Explore new technologies and accelerate AI adoption across the business

Senior AI Engineer

Analyst

• Develop technological solutions to automate processes and increase operational efficiency.
• Create solutions on low-code platforms such as Microsoft Power Apps to automate processes.
• Develop automated workflows with Power Automate, integrating systems, databases, and applications.
• Develop SQL queries and solutions in AWS environments, including data extraction, processing, and modeling.
• Develop Python solutions for automation, data analysis, and system integration.
• Design and implement solutions using Generative AI and prompt engineering.
• Continuously identify opportunities for innovation by proposing new technologies and automation initiatives.
• Develop strategic analyses of the market, competition, and market share.

Junior Investor Relations Analyst

People Operations

• Create Generative AI solutions to automate day-to-day activities
• Build executive dashboards and monitoring tools
• Conduct exploratory data analyses and identify opportunities for improvement
• Develop materials for committee reporting
• Ensure decisions are data-driven
• Collaborate in monitoring the department’s PMO

Senior Fraud Prevention Analyst – Exclusive Opportunity for People with Disabilities

General Counsel

• Advise the consortium, mortgage lending, vehicle financing, and microcredit businesses
• Assess regulatory matters and ensure product compliance with applicable legislation
• Draft and review legal opinions, contracts, and communications regarding customer transactions
• Support the innovative development of new business lines
• Advise business areas on matters related to financial and banking products

Mid-Level Legal Counsel, Retail

Data Analyst

• Develop and maintain microservices using Python
• Contribute to building accessible, scalable, resilient, and testable applications
• Create and maintain technical documentation for developed solutions
• Apply software engineering best practices, such as Clean Code, SOLID, and Design Patterns
• Work in AWS environments and on CI/CD pipelines using GitHub Actions
• Participate in agile ceremonies and collaborate on continuous value delivery
• Implement resilience and observability patterns in applications
• Work collaboratively, supporting team development and sharing knowledge
• Help build the new corporate data catalog experience using Atlan
• Develop modern digital products to transform how data is consumed and governed across the organization

Junior IT Engineering Analyst – Data

Platform Engineer

• Build and evolve the intelligent agent platform, ensuring integration among data, models, tools, and APIs in large-scale enterprise environments
• Design and implement AI platform components, including Registry, Runtime, Evals, Observability, Governance, and mechanisms for integrating agents
• Integrate solutions using MCP and A2A protocols, enabling secure, asynchronous connectivity between enterprise systems and cognitive agents
• Design, develop, and maintain GenAI pipelines for agent training, evaluation, deployment, and monitoring
• Implement and scale LLMOps and AgentOps infrastructure, including experiment automation, agent versioning, and continuous delivery
• Implement end-to-end observability with logs, metrics, tracing, and dashboards using tools such as Datadog
• Develop and track quality, performance, cost, and value metrics for agents, models, and pipelines
• Ensure governance, compliance, and security for agents, pipelines, and data used by AI solutions
• Work with proprietary and open-source models, including OpenAI, Azure OpenAI, and Anthropic, applying RAG, fine-tuning, and prompt engineering
• Collaborate with software engineers, data engineers, architects, and AI scientists to build large-scale GenAI solutions

Platform Engineering Specialist

Data Engineer

• Serve as a Senior Data Engineering Analyst in an agile, multidisciplinary squad
• Own the data lifecycle, from ingestion through delivery for analytics consumption, digital products, and AI solutions on AWS
• Develop and maintain batch, streaming, and near-real-time data pipelines on AWS
• Build data ingestion, transformation, and delivery processes (ETL/ELT)
• Work in Data Lake/Lakehouse environments and Data Mesh architecture
• Perform data modeling and evolve the SOR, SOT, and SPEC layers
• Build datasets, metrics, KPIs, and dashboards in Amazon QuickSight
• Ensure data quality, governance, observability, and security
• Optimize performance and costs in AWS environments
• Use AI tools to accelerate the development and operation of data solutions
• Act as a technical reference, disseminating best practices and supporting team development

Senior Data Engineering Analyst – Structured Assets and Guarantees

Financial Planning and Analysis

• Support financial planning and performance management
• Validate and analyze net interest margin results
• Work closely and consultatively with the Alternative and Structured Assets Directorate
• Assess portfolio profitability, efficiency, and performance
• Produce management analyses and executive dashboards
• Support strategic initiatives and decision-making
• Help structure the new directorate through comprehensive income statement analysis
• Provide daily support to officers and offer strategic challenges and insights to drive the business forward
• Calculate, publish, and explain results on a daily basis
• Analyze income statements and databases
• Support various partner teams
• Prepare reports and dashboards for senior leadership
• Automate processes

Senior Financial Planning Analyst

Security Analyst

• Conduct penetration tests (pentests) on web applications, mobile applications, and APIs.
• Identify, exploit, and validate security vulnerabilities before products are released.
• Prepare detailed technical reports containing evidence, risk analysis, and remediation recommendations.
• Support development teams in understanding and remediating security findings.
• Participate in technical and functional meetings with business and development teams.
• Serve as a technical authority in offensive security for modern applications.
• Develop AI-powered improvements to increase efficiency in daily activities.
• Act as a technical reference and lead initiatives to identify application vulnerabilities.