• Work on AI-powered services that are used across product lines, developing both backend APIs and frontend interfaces. • Mentor lower-level peers and serve as an informal technical lead, particularly in AI/ML integration best practices. • Create and execute processes and procedures for the technical quality, security, performance, and consistency of AI-powered products. • Ensure security, performance, and quality of software architectures and provide technical guidance to development teams. • Drive end-to-end system design decisions for scalable enterprise-grade AI platforms and collaborate with Product to evolve requirements into well-architected solutions. • Conduct research, gather information, interpret data, identify requirements, and create innovative solutions for AI-driven products.

• Own software solutions deployed to large vessel customers • Deliver high-reliability systems aligned to mission objectives • Integrate and deploy autonomy software onto large maritime platforms • Collaborate with platform engineering to scale capabilities fleet-wide • Adapt autonomy systems to vessel-specific constraints and interfaces • Develop and maintain interfaces using maritime protocols (NMEA, CAN, MQTT, UMAA) • Ensure standards-compliant data exchange across vessel subsystems and external command networks • Partner with autonomy, hardware, and mission engineering teams • Plan, build, and test complex shipboard integrations • Support field deployments and operational testing • Design and implement monitoring, logging, and debugging frameworks • Develop performance metrics to ensure reliable autonomy operation at sea • Diagnose and resolve issues in live vessel deployments • Coordinate resolution across internal engineering and customer teams • Translate real-world vessel operational needs into software features • Balance user experience with technical realities of shipboard environments • Support shipboard and at-sea deployments as mission requirements dictate

• Architect AI Agents: Design and implement autonomous agents and intelligent chatbots using LLMs (OpenAI, Anthropic, etc.) and modern frameworks. • End-to-End Automation: Use n8n to orchestrate complex workflows, integrating internal systems, third-party APIs, and databases. • Implement RAG: Develop Retrieval-Augmented Generation systems so our AIs respond based on our proprietary documents and data. • Identify Opportunities: Work consultatively with business areas to pinpoint repetitive processes that can be optimized or eliminated with AI. • Monitoring and Scaling: Ensure bots and models run efficiently, with controlled costs and data security (focus on LGPD).

• Design, build and launch new multi-product features and improve the overall quality of SmarterDx’s apps • Design, build and launch reusable frontend components that are fully featured, responsive, and accessible to improve the overall quality of SmarterDx’s apps • Collaborate across disciplines to understand our users and iterate on new ideas • Protect patients’ privacy and security through secure coding practices • Research and advocate for improved techniques, processes, and designs within the team • Support SmarterDx’s apps in production