• Collaborate with product, design, and business teams to identify where AI can deliver immediate user value (e.g., financial insights, sustainability compliance checks, farm-specific recommendations). • Lead efforts in maintaining SOC-2 Compliance • Drive the long-term technical direction for AI-enabled features across our platform, from computer vision to data parsing to intelligent recommendations. • Define technical specs for features and target dates, ensuring alignment between product and engineering teams. • Define architectural patterns for the platform, ensure scalability and reliability. • Provide technical leadership across teams, set engineering standards, mentor others, and raise the bar for the org. • Collaborate as needed with stakeholders to clarify goals and drive product development. • Contribute across the entire stack, from front-end to back-end, databases, and deployment. • Engage in code reviews and design discussions to raise team standards for lean, effective development.

• 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.