• Serve as a senior technical authority across informatics defining and enforcing technical standards, guiding key design decisions, and making final determinations on technical tradeoffs and risk acceptance • Demonstrated ability to use informatics (data, ML, AI) to discover and develop materials • Provide end-to-end technical leadership for highly complex engineering projects and programs, ensuring sound architecture, technical rigor, safety, quality, and lifecycle risk closure • Own critical projects and technical deliverables supporting the success of Informatics on the MPE team • Act as a primary technical resource and subject matter expert within Informatics providing guidance to project teams, suppliers, customers, and stakeholders • Review and approve engineering documentation, deliverables, deviations, and waivers to ensure compliance with internal requirements, external regulations, and industry standards • Collaborate directly with the Sciences - MPE Chief Engineer to review designs, align strategy, and provide technical direction • Drive problem resolution across multiple disciplines and identify technical risks and mitigations at the system level • Identify innovation opportunities by monitoring relevant technologies, regulations, competitors, and industrial trends; support external engagement through conferences, academic partnerships, and technical forums • Interface with customers, suppliers, internal teams, and external entities to resolve the most complex technical issues and support successful project execution • Leverage data and AI/ML tools to accelerate design space exploration, automate analysis, and improve defect detection and root-cause resolution • Mentor and coach Principal and developing engineers to strengthen technical judgment, knowledge sharing, and engineering capability • Lead the development of technical standards, best practices, design practices, and process improvements while fostering a culture of curiosity, continuous improvement, and inclusion

• Write clean, efficient, and maintainable code using .NET Frameworks, Visual Studio, C#, LINQ, Web Services/APIs, and Entity Framework • Collaborate in a CI/CD pipeline environment for continuous integration and delivery • Ensure a clear understanding of project requirements, including business goals and technical specifications • Collaborate with stakeholders, including product owners and project managers, to align software solutions with business goals and user needs • Identify, debug, and resolve application issues to ensure software meets project requirements and functions correctly • Execute all assigned functional test cases in the development environment before handing the build to QE • Attach Proof of Testing (POT) evidence in Azure DevOps for every executed test case • Identify, classify, and resolve defects found during Developer Functional Test before QE handover • Improve application performance by optimizing queries, caching, and front-end rendering • Continuously monitor, maintain, and update software applications to ensure they function optimally and align with evolving business needs • Provide support to end-users, ensuring effective utilization of the software application • Maintain comprehensive documentation of the development process, codebase, and software changes for future reference and scalability

Role Description We are seeking an experienced and highly skilled Full Stack Developer to design, develop, and deploy modern web and mobile applications with integrated AI capabilities. The ideal candidate has strong expertise in both backend and frontend development, with a focus on building scalable, real-time applications powered by AI technologies. You will work with Node.js, TypeScript, React, and Flutter, while leveraging advanced AI tools such as Large Language Models (LLMs), RAG systems, embeddings, and Model Context Protocol (MCP). Key Responsibilities - Full-Stack Development: - Architect and implement end-to-end solutions from database to frontend. - Develop RESTful APIs and WebSocket-based real-time systems. - Build scalable and high-performance applications. - Front-End Development: - Design and develop responsive web applications using React.js. - Implement modern UI/UX patterns and ensure cross-browser compatibility. - Build or migrate applications using Flutter for web and mobile platforms. - Back-End Development: - Develop robust backend services using Node.js and TypeScript. - Design scalable API architectures and ensure system reliability. - Handle real-time communication using WebSockets. - Database Management: - Design and manage MongoDB databases. - Optimize schema design, indexing, and query performance. - Implement data modeling strategies for document-based storage. - AI & Machine Learning Integration: - Integrate LLMs (e.g., GPT, Claude) into applications. - Build and implement RAG (Retrieval-Augmented Generation) systems. - Work with vector embeddings and semantic search. - Apply prompt engineering techniques and AI tooling. - Real-Time & Advanced Features: - Implement real-time features using WebSockets. - Ensure efficient and secure data communication. - Development Tools & Practices: - Use Git for version control and collaboration. - Implement CI/CD pipelines and deployment workflows. - Utilize Docker and containerization practices. - Apply testing frameworks (Jest, Mocha, Flutter test). - Collaboration and Communication: - Work closely with cross-functional teams to deliver solutions. - Participate in code reviews and maintain code quality standards. - Continuous Improvement: - Stay updated with emerging AI and development technologies. - Continuously optimize performance, scalability, and efficiency. Qualifications - Minimum of 5 years of relevant work experience. - Strong proficiency in Node.js and TypeScript. - Advanced experience with React.js (hooks, modern patterns). - Experience with Flutter for cross-platform development. - Solid experience with MongoDB (schema design, optimization). - Strong understanding of WebSockets and real-time systems. - Hands-on experience with RESTful API development. - Experience with AI/ML integrations in production environments. - Knowledge of RAG systems, embeddings, and semantic search. - Familiarity with MCP (Model Context Protocol). - Experience with Git, CI/CD, and Docker. - Strong problem-solving skills and attention to detail. - Excellent communication and teamwork skills. Preferred Qualifications - Experience with cloud platforms (AWS, GCP, or Azure). - Knowledge of microservices architecture and API gateways. - Experience with GraphQL. - Familiarity with Redis or caching systems. - Understanding of OAuth and JWT authentication. - Experience with WebRTC for advanced real-time features. - Knowledge of Python for AI/ML integration. - Experience with vector databases (Pinecone, Weaviate, Qdrant). - Familiarity with monitoring and logging tools. Key Projects & Deliverables - Build full backend infrastructure using Node.js and MongoDB. - Develop modern React-based web applications. - Create or migrate Flutter applications for web and mobile. - Implement AI-powered features (chatbots, search, automation). - Build RAG pipelines with embedding and retrieval systems. - Integrate MCP servers and AI workflows. - Ensure application security, scalability, and performance. Soft Skills & Attributes - Strong analytical and problem-solving skills. - Ability to manage multiple priorities independently. - Passion for AI and emerging technologies. - High attention to detail and code quality. - Collaborative mindset with mentoring ability. What You'll Work With - Node.js & TypeScript - React.js - Flutter (Web & Mobile) - MongoDB - WebSockets - LLM providers (OpenAI, Anthropic, etc.) - RAG frameworks & vector databases - MCP tools and integrations How We Work - Flexible or full-time work schedule. - This role is intended for highly skilled developers only. Please do not apply if you do not meet these criteria. - Usage of time doctor (time and task tracking software) is mandatory for all team members; please ensure you're comfortable with this before applying.

• Lead and oversee complex transmission line designs from conceptual engineering through final design • Provide senior-level technical expertise and direction to design staff • Perform key engineering studies such as conductor economic evaluations, lightning performance, grounding calculations, and electrical clearance determinations per NESC and applicable standards • Interpret and apply regulatory requirements including NERC, FERC, and regional standards • Prepare and review technical documentation such as specifications, data sheets, RFQs, bid evaluations, vendor drawings, and purchase recommendations • Collaborate with project managers on scopes, schedules, budgets, staffing plans, construction support, and change order management • Perform and review QA/QC for engineering deliverables • Conduct and lead field inspections, measurements, calculations, and installation reviews • Develop and present technical reports • Provide mentorship, leadership, and guidance to less experienced engineers