• Design and develop AI-enabled services and applications using Python and modern cloud-native architectures. • Integrate Large Language Models (LLMs) and AI APIs into production systems to support intelligent automation and decision-making. • Build scalable microservices and REST APIs that support AI-driven workflows and data processing. • Develop data pipelines and services that process structured and unstructured data for intelligent applications. • Implement secure APIs and event-driven architectures that support system integration and AI-enabled services. • Optimize AI-powered applications for performance, reliability, scalability, and maintainability in cloud environments. • Collaborate with engineers, product teams, and stakeholders to translate business and AI requirements into deployable solutions. • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

• Develop and maintain features for our main platform • Deploy code to production and respond to live incidents in production • Work closely with developers and QA testers to deliver and meet expectations • Work in an international environment with teams in multiple time zones • Think out of the box and solve unique problems • Attention to detail

• Design and develop event-driven, data-intensive backend services using Node.js, TypeScript, AWS, and cloud-native technologies to support AI workloads at scale. • Architect and implement microservices-based solutions with clearly defined service boundaries, REST APIs, and asynchronous messaging patterns. • Lead the development and deployment of AI-enabled systems that process structured and unstructured data to support intelligent decision-making. • Drive Test-Driven Development (TDD) practices and maintain automated testing strategies across unit, integration, and contract testing. • Design scalable cloud-native architectures and distributed systems that support mission-critical healthcare applications. • Collaborate with product owners, engineers, and stakeholders to translate business requirements into production-ready technical solutions. • Evaluate emerging AI technologies, frameworks, and tools to support innovation, modernization, and long-term scalability. • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

• Define and drive the technical vision/ownership for mobile application development across multiple iOS apps • Establish best practices for mobile architecture (MVVM-C), performance optimization, and code quality • Mentor engineers through code reviews, design discussions, and hands-on coaching • Partner with product, design, and backend teams to align technical solutions with business objectives • Lead technical decision-making for mobile frameworks, libraries, and tooling • Design, develop, and maintain iOS applications using Swift and modern Apple frameworks (SwiftUI, XCTest) • Build robust integrations with RESTful APIs and backend services • Implement responsive, intuitive, and high-performance user interfaces • Leverage native device capabilities, including camera, sensors, and secure storage • Ensure applications are reliable in real-world environments, including intermittent connectivity • Collaborate with backend teams to define API contracts and optimize data exchange • Design mobile solutions that support offline-first or occasionally connected use cases • Ensure secure data handling and compliance with healthcare and regulatory standards • Contribute to system-level architecture decisions impacting mobile and backend systems • Participate in sprint planning, backlog grooming, and delivery tracking • Drive continuous improvement in mobile development practices, tooling, and testing