• Support Celerity’s project teams by applying engineering expertise to data, documents, and client projects. • Review engineering drawings and specifications, validating data, and supporting engineering analysis to ensure accuracy and compliance with client and project requirements. • Work closely with lead engineers and project managers, assisting with calculations, reporting, and project coordination. • Verify data on underground and overhead electric system structures, including components, configurations, and documentation. • Perform searches and data validation using client platforms such as GIS, SAP, and document repositories. • Analyze job packages, engineering documentation, and project records to confirm alignment with system conditions. • Conduct GIS functions such as querying geodatabases, preparing maps or exhibits, and extracting data for analysis. • Provide mark-ups and redlines on engineering documents in accordance with project standards and client specifications. • Assist lead engineers or CAD managers with developing construction documents, reports, and project deliverables. • Perform engineering design tasks and basic calculations under supervision of a licensed engineer or project manager. • Maintain project tracking logs and coordination tools, including status updates, challenges, schedules, and completion milestones.

• Build and deploy ~100 transactional and lifecycle emails in Maropost — order confirmations, shipping notifications, refunds, cancellations, account updates, abandoned cart, welcome/onboarding, reorder flows, product review requests, and promotional campaigns • Develop a reusable, modular component library plus a global header/footer system aligned with the client's new design system • Implement Liquid-based dynamic templates with conditional logic for variables like customer type (e.g., preferred customer vs. unaffiliated buyer), autoship vs. non-autoship, affiliate flows, subscription lifecycle events, and lead routing • Configure multi-country and multi-language localization • Audit the client's existing Mandrill email inventory and migrate flows to Maropost (or support a hybrid approach if needed) • Wire up Shopify triggers to Maropost flows; validate end-to-end functionality alongside the broader platform migration • Coordinate with subscription tooling (Seal Subscriptions) for subscription-related email events • Support a dedicated QA phase covering business logic variability, localization, deliverability, and rendering across major clients and devices • Document templates, components, and conditional logic so the client's marketing team can maintain and extend the system post-launch

• Develop, and maintain Ceresti’s caregiver-facing iOS and Android applications using Flutter and Dart • Build elegant, accessible, native-feeling UI that works for caregivers of all ages and tech comfort levels • Integrate with our Go and PostgreSQL-backed APIs, including secure authentication, push notifications, and real-time data sync • Manage the full mobile release lifecycle: build pipelines, code signing, beta distribution via TestFlight and Google Play Internal/Closed testing, phased rollouts, and post-release monitoring • Implement robust offline-first behavior, secure local storage of PHI, and graceful handling of flaky networks • Instrument the app for analytics, crash reporting, and performance monitoring, and act on what the data tells you • Champion mobile accessibility in our apps • Participate fully in our Agile process, and collaborate daily with backend, web, QA, design, product, and clinical teammates • Review pull requests, raise the bar on code quality, and mentor other engineers on mobile best practices • Help safeguard PHI on-device and in transit, including biometrics, secure storage, and logging hygiene

• Develop and implement Generative Artificial Intelligence solutions using AWS services, including Amazon Bedrock; • Build and evolve intelligent agents using frameworks such as LangChain and LangGraph; • Develop orchestrated agent workflows, promoting efficient integrations with language models (LLMs); • Implement AI-based applications such as chatbots, virtual assistants, content classification systems, and intelligent document processing; • Develop solutions using RAG (Retrieval-Augmented Generation) for context enrichment and information retrieval; • Model and implement graph-based data structures using Neo4j and the Cypher query language; • Integrate applications and agents using protocols such as MCP (Model Context Protocol); • Participate in the definition and implementation of testing, observability, and monitoring for developed solutions; • Contribute to the continuous evolution of AI application architecture in cloud environments; • Collaborate with multidisciplinary teams to build data- and AI-driven solutions; • Use Git for code versioning, collaboration, and project maintenance; • Support technical documentation and the dissemination of development best practices.