• Technical Leadership: Lead the design, development, and maintenance of a robust platform that allows users to create, manage, and orchestrate AI agents and their interactions. • Multi-Agent Frameworks: Build and optimize frameworks for multi-agent coordination, leveraging orchestration tools like LangGraph to enable complex workflows and pipelines. • LLM Integration: Work with multiple LLMs (e.g., OpenAI, Anthropic, Cohere) to ensure seamless integration and scalability for individual and collaborative agent operations. • Evaluation Frameworks: Develop and implement systems to test AI agents in complex scenarios, focusing on both individual performance and system-level dynamics. • AI Innovation: Stay ahead of AI advancements, incorporating the latest research and technologies to enhance agent collaboration and capabilities. • Cross-Functional Collaboration: Partner with product managers, designers, and frontend engineers to deliver a seamless user experience for building and deploying intelligent systems. • Privacy and Compliance: Address challenging AI privacy scenarios, ensuring compliance with data protection regulations and best practices. • Search Integration: Improve and integrate search capabilities into the platform to provide agents with essential information access.

• Manage, mentor, and develop a team of iOS and Android engineers, fostering a culture of collaboration, accountability, and continuous improvement • Conduct regular 1:1s, performance reviews, and career development conversations • Create an inclusive team environment where engineers feel empowered to take ownership and do their best work • Define, document, and evangelize engineering standards and best practices across mobile platforms • Provide architectural guidance and ensure technical decisions align with long-term product and platform goals • Partner with engineers to resolve complex technical challenges, offering mentorship and direction without necessarily writing the code yourself • Drive improvements to code quality, testing practices, CI/CD pipelines, and release processes • Work with product managers, UX designers, and other stakeholders to plan, prioritize, and deliver features on schedule • Balance multiple objectives across teams, ensuring alignment between iOS and Android development efforts • Lead agile ceremonies and ensure the team operates efficiently within a scrum framework • Collaborate with quality assurance and customer success to triage and resolve application issues • Partner with hardware and embedded systems teams to ensure seamless integration between mobile applications and ButterflyMX devices • Evaluate and integrate AI coding assistants (e.g., Claude, GitHub Copilot, Cursor) into team workflows to improve developer velocity and reduce toil • Identify opportunities to leverage AI and automation across the development lifecycle—from code generation and review to testing, documentation, and debugging • Stay current on emerging AI tools and techniques, sharing knowledge with the team and driving experimentation

• Get to use AI in every aspect of your role. • Lead a high-performing, full-stack team to deliver key product outcomes with quality and urgency • Collaborate with Product and Design to shape roadmap priorities, technical tradeoffs, and delivery plans • Leverage AI and automation to meaningfully improve engineering velocity and operational excellence • Grow and develop a team of engineers through regular coaching, feedback, and mentorship • Drive a high bar for execution, quality, and delivery—ensuring consistency across planning cycles • Help define and influence broader engineering best practices and systems as part of our EM leadership team • Champion customer-centric decision making, ensuring every build aligns to real user needs

• Write production code on complex backend services, migrations, and integrations • Design and scale backend services with deep focus on PostgreSQL performance • Drive architectural decisions across microservices on GCP • Lead technical design reviews and set engineering standards • Identify and resolve performance bottlenecks • Own critical technical initiatives end-to-end • Mentor engineers at all levels through reviews, pairing, and guidance • Raise engineering practices: code quality, testing, documentation, incident response • Lead architectural decision-making across domains • Develop senior engineers into technical leaders • Manage and develop a team of engineers • Partner on hiring strategy and interview processes • Drive career development and performance growth • Translate product needs into technical roadmaps • Balance feature delivery with technical debt reduction • Partner with Product and Customer Success on priorities and escalations