• Design & build the Solver framework: Architect the algorithms, execution strategies, and infrastructure that power solver competition, quote aggregation, and intent-ready execution workflows. • Drive technical excellence: Lead deep code and design reviews, make high-impact architectural decisions, and uphold the highest engineering standards. • Collaborate across teams: Work with product, research, and ecosystem partners to align Solver capabilities with the NEAR Intents roadmap. • Guarantee performance at scale: Ensure low-latency, high-throughput execution across chains and decentralized environments. • Innovate Solver economics: Shape incentive structures, competition mechanisms, and cryptoeconomic models to grow and sustain Solver participation. • Stay hands-on: Balance leadership with active coding, prototyping, and tackling the most complex technical challenges in real-time.

• Preparation of HOAI service phases 1 to 7 for building automation • Management of international projects • Advising clients on all aspects of building automation, in particular by: identifying and documenting client requirements • Development of building automation concepts • Preliminary cost estimates • Review and assessment of existing planning documents for service phases 1 to 8 • Development of optimization proposals • Close collaboration with colleagues from various disciplines, especially the Digital Building Consultants • Support during commissioning and acceptance of building automation installations • Survey and assessment of existing installations and new-build projects

• Design, develop, and deploy generative AI applications using NodeJS & TS that enhance product features and user experiences, focusing on applications like text generation, classification, RAG systems, etc. • Collaborate with product teams to identify opportunities for applying generative AI to solve user needs and improve the platform's capabilities. • Lead the exploration and implementation of state-of-the-art generative AI techniques, ensuring Front stays ahead of technological trends. • Inform on AI model training and deployment infrastructure, ensuring scalability and efficiency. • Dive deep into real-world data, ensuring high-quality model training and iteration • Monitor and evaluate the performance of AI applications, making adjustments and improvements to ensure they meet our high standards. • Keep abreast of the latest developments in machine learning and AI, advocating for best practices and integrating new technologies where appropriate.

• Champion an API-First approach: Define, document, and mock API contracts (using tools like OpenAPI/Swagger) before writing code to ensure consistency and excellent developer experience. • Architect and develop high-performance backend microservices using Go (Golang), ensuring APIs are versioned, secure, and scalable. • Design and build responsive web applications using ReactJS that consume your APIs to provide a seamless self-service experience. • Drive technical standards for API governance, database design, and system architecture, ensuring our platform is easy for other engineering teams to integrate with. • Translate complex network requirements into clean software specifications. You will collaborate with network engineers to abstract infrastructure complexity behind well-designed interfaces. • Participate in an on-call rotation to provide support for production environment outages and critical issues. On-call support is typically low-volume and focused on major incidents.