Role Description We are looking for a professional with solid experience in Software Engineering and knowledge of Platform Governance topics, aiming to build protections in low-code and no-code tools contracted in order to avoid risks that users may create for the company in their projects. Qualifications - Proven experience with Agile development practices, including Scrum or Kanban. - Proficient in one or more programming languages, such as Python and Go. - Technical expertise and hands-on experience with Amazon Web Services (AWS). - Strong understanding of database design and evolution. - Experience designing and evolving software architecture from the ground up. - Skilled in creating RESTful APIs. - Experience with tools and practices for software monitoring, observability, and performance tracking. - Solid software engineering fundamentals, including version control, testing, and deployment automation, code reviews, and design documentation. - Strong problem-solving skills and attention to detail; seeking to learn and deliver real impact through high-quality data-driven and structured software, valuing work-life balance. - Fluency in Portuguese and advanced English. Requirements - Experience with low and/or no-code platforms such as Zapier, Base44, Botpress, or Botcity. - Experience mentoring a team of software engineers. - Experience with cloud service platforms and their services (AWS, GCP, Azure, etc). - Some knowledge on containers and container-orchestration (e.g., Kubernetes). - Knowledge of different AI models and their characteristics, costs, how to monitor them, and in which situations they should be used. - Understanding of modern CI/CD practices. - Knowledge of testing and tuning scalability. - Understanding of computer theory, including optimization of algorithms and distributed systems. - Recognition that the work is never done; always taking care and evolving services. Benefits - Competitive salary - Profit sharing - Meal allowance - Health insurance - Dental plan - Life insurance - Childcare subsidy and Atypical Parenthood subsidy - Wellhub - Home office allowance - Employee assistance program (mental health, social, legal, and financial support) - Extended parental leave - Day off on birthday, Mother’s Day, and Father’s Day - Benefits Club (discounts on everyday services) - Discounts at educational institutions - Reading kit for children – PlayKids

Role Description At Robots & Pencils, we build meaningful, scalable digital products that solve real business problems. We’re looking for a Staff AI Engineer to support the development and delivery of complex, integration-heavy platforms. This role is ideal for an experienced engineer who thrives in hands-on development, can confidently own features and deployments, and contributes to team leadership within a pod. In this role, you will work as a key contributor on a cross-functional team, building across the stack while helping guide delivery, improve systems, and solve challenging integration problems, including AI-native platforms such as agentic learning systems designed to enable human-centered learning in the Age of AI. This is not a greenfield project. You’ll be joining a mature, production environment with real users, where reliability, performance, and scalability are critical. You’ll collaborate closely with senior engineers to enhance existing systems and deliver high-quality features. By joining us, you leverage our Advanced AWS Partnership and the highly exclusive AWS Patterns Partnership, a distinction held by only 11 companies worldwide out of 190,000. What You’ll Do - Development - Build and maintain backend services using Python and Node.js, including serverless architectures (e.g., AWS Lambda, API Gateway) - Develop and integrate APIs that support frontend applications and external systems - Contribute to frontend features and ensure smooth integration across the stack - Write clean, maintainable, and well-tested code with strong unit testing practices - Workflow & System Orchestration - Support the development and maintenance of workflows using orchestration tools (e.g., Sequencer / workflow engines, state machines) - Contribute to event-driven processes and asynchronous system operations (e.g., SQS, EventBridge) - Assist in improving reliability through better error handling and retries - Backend & API Engineering - Develop RESTful APIs and support the BE architecture - Integrate with third-party services and internal systems, including AI-driven platforms - Assist in optimizing performance and scalability of services using DynamoDB single-table design patterns (composite keys, transactional writes) - Implement secure and reliable data handling practices - System Reliability & Support - Troubleshoot issues in production environments with guidance from senior team members - Contribute to logging, monitoring, and debugging efforts - Support deployment and release processes in cloud-native environments (AWS, Docker) - Collaboration & Growth - Work closely with cross-functional teams across global locations - Participate in code reviews and team discussions - Take ownership of assigned features and tasks, delivering end-to-end solutions - Continue developing technical skills and leveraging AI-assisted development tools (e.g., Claude Code) Qualifications - 6+ years of professional software engineering - Strong experience with Python and Node.js - Experience with LLM function/tool calling, prompt engineering, multi-agent orchestration, vector databases (OpenSearch), embeddings, streaming LLM responses, RAG concepts - Experience working with AWS cloud environments, including Lambda, DynamoDB (and Single-Table design), S3, SQS, EventBridge, Step Functions, etc. - Experience building and maintaining fullstack applications - Exposure to workflow orchestration tools (e.g., Sequencer or similar systems) - Solid understanding of API design and backend systems - Familiarity with databases (SQL and/or NoSQL, including scalable design patterns) - Experience working in production environments - Strong unit testing practices and maintainable test strategies - Experience with containerization (e.g., Docker) Nice to Have - Demonstrated ability to reason about system-wide impacts of changes, including downstream effects across services and data layers - Demonstrated ability to identify design gaps in requirements and raise them before they reach development - Experience with Langfuse, synthetic AI testing, token cost optimization, reasoning effort configuration, Step Functions for AI workflows

• Build and scale the agent runtime at Newfront • Design and own RAG and document understanding pipelines for complex insurance artifacts • Build the connector framework that lets AI agents and pipelines reach into the systems brokers actually use • Establish the evaluation and observability backbone for AI at Newfront • Own model routing and the model gateway • Stand up and operate on-premise model hosting • Ship AI product features end-to-end on top of the platform • Mentor engineers on production AI systems, review designs, and help establish best practices for building reliable AI in financial services • Partner with security, privacy, and compliance to bake controls into the platform

• Design, build, and iterate on AI Assistants integrated with enterprise tools including Jira, Slack, and internal data sources • Develop and maintain prompt engineering frameworks, evaluation pipelines, and feedback loops to continuously improve assistant quality and reliability • Build and maintain APIs, backend services, and integrations that connect AI capabilities to the tools teams already use • Collaborate with AI Ops, security, and platform engineering teams to ensure systems are production-grade, secure, and observable • Contribute to a repeatable framework for building new AI Assistants as the program expands • Evaluate new models, tools, and libraries and make informed recommendations on when and how to adopt them • Identify and mitigate risks related to AI outputs, data handling, and responsible use • Contribute to technical documentation, runbooks, and onboarding materials that help the team scale what gets built