Role Description BlueFlag LLC is seeking an experienced Senior Interactive Motion Designer to create high-performance, emotionally resonant interactive experiences for our marketing website and digital products. In this contract role, you will design and deliver motion systems that begin with clean, minimalist line art and evolve into rich, responsive animations that feel alive. You will own the full motion pipeline — from concept and asset creation through interactive development, performance optimization, and seamless handoff to our Angular front-end team. You will be our primary specialist for interactive motion, working closely with UI/UX and engineering to ensure every animation enhances brand storytelling, drives engagement, and performs flawlessly across devices and themes. What You'll Do - Design and build interactive vector animation systems in Rive, including state machines, pointer/touch listeners, bone-driven elements, data binding, and real-time responsiveness. - Create premium motion graphics and video assets in After Effects with perfect transparency, reversible timelines, loopable sequences, and web-optimized exports (ProRes 4444, WebM, etc.). - Develop minimalist line-art animations that gradually transition into more organic, life-like motion while maintaining a cohesive visual language. - Build cursor- and touch-responsive interactions (subtle repulsion, attraction, sway, micro-movements) that feel natural and delightful. - Design and optimize multi-layer experiences that combine breathing backgrounds, transparent video, and interactive vector overlays running at 60 fps with no visual conflicts. - Establish motion design systems that work beautifully in both light and dark modes, using a restrained grayscale palette with one consistent accent color. - Collaborate daily with front-end developers on integration, event handling, responsive behavior, and performance tuning within Angular components. - Optimize all deliverables for file size, load speed, and cross-device performance (desktop, tablet, mobile touch). - Provide clean, well-documented source files, export settings, and technical guidance so the engineering team can implement without friction. - Contribute strategic input on how motion can improve user engagement, brand perception, and conversion on key marketing pages. - Optionally develop lightweight Canvas or Three.js fallbacks when needed. - Work remotely from the Philippines with at least 3–4 hours overlap with US Eastern Time on most days. Qualifications - 4+ years of professional software development experience. - Strong experience with at least one primary development stack: - C# / .NET / ASP.NET Core, preferred for Microsoft/Azure alignment. - Python, acceptable especially with strong AI/agent development experience. - Hands-on experience building or integrating with REST APIs, including authentication, request/response design, error handling, and API documentation. - Experience with Microsoft Azure, preferably including some of: - Azure App Service - Azure Functions - Azure OpenAI / Azure AI Foundry - Azure AI Search - Azure Storage - Azure Identity / Entra ID - Practical understanding of AI agents, including: - tool calling - agent instructions/prompts - retrieval-augmented generation - multi-step workflows - grounding agents in enterprise data - Experience with at least one agent or LLM application framework, preferably: - Microsoft Agent Framework - Semantic Kernel - AutoGen - LangChain - LangGraph - Ability to write clean, maintainable, testable code. - Ability to troubleshoot unpredictable AI behavior and improve reliability through better prompts, tools, validation, tests, and workflow design. - Good understanding of secure software development practices, especially around: - secrets management - least-privilege access - API security - data protection - logging and monitoring - Strong written English and ability to document designs clearly. - Comfortable working remotely with a US-based team, with some overlap with US Eastern Time. Nice-to-have (Preferred) - Experience with Microsoft Foundry Agent Service or Azure AI Foundry projects. - Experience building agentic workflows using Microsoft Agent Framework, Semantic Kernel, AutoGen, LangChain, or LangGraph. - Experience with C#/.NET agent development, especially in Azure-hosted applications. - Experience with Python-based AI development, including LLM APIs, embeddings, vector stores, or document-processing pipelines. - Experience designing OpenAPI-based tools for agents to call. - Experience with Azure AI Search, hybrid search, semantic search, or vector retrieval. - Experience building agents that work with enterprise data sources such as SharePoint, Microsoft 365, SQL databases, document repositories, or internal APIs. - Familiarity with evaluation approaches for LLM/agent systems, including test cases, regression checks, hallucination reduction, and source-grounded responses. - Experience working in professional services, government contracting, legal technology, data platforms, or secure enterprise environments. Contract Information This position is contract only and not eligible for benefits.

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• Guide the development of end-to-end features for a lean team, making pragmatic trade-offs between rapid shipping and long-term code health. • Remain heavily hands-on, writing clean, production-grade code across the entire full-stack TypeScript ecosystem. • Move past basic implementations to deploy custom agentic workflows, state machine logic, and custom RAG pipelines. • Build custom guardrails, traceability frameworks, and confidence/quality algorithms to mathematically measure, test, and prove LLM output reliability. • Turn high-level, ambiguous ideas into functional, working code rapidly, prioritizing immediate execution over lengthy architecture meetings. • Establish rigorous code review processes, testing discipline, and guidelines for the responsible and mature use of AI coding assistants within the team.

• Guide the development of end-to-end features for a lean team, making pragmatic trade-offs between rapid shipping and long-term code health. • Remain heavily hands-on, writing clean, production-grade code across the entire full-stack TypeScript ecosystem. • Move past basic implementations to deploy custom agentic workflows, state machine logic, and custom RAG pipelines. • Build custom guardrails, traceability frameworks, and confidence/quality algorithms to mathematically measure, test, and prove LLM output reliability. • Turn high-level, ambiguous ideas into functional, working code rapidly, prioritizing immediate execution over lengthy architecture meetings. • Establish rigorous code review processes, testing discipline, and guidelines for the responsible and mature use of AI coding assistants within the team.