• The GTM Engineering team exists to accelerate what our sales and marketing teams can do. That means thinking about how AI and automation can change the quality and speed of our go-to-market motion, not just maintaining it. • Some of the ways we think about that acceleration: - Using AI to surface the right accounts at the right time based on behavioral and intent signals - Automating the research, enrichment, and prioritization work that currently slows sellers down - Building audience and prospecting infrastructure that lets marketing move faster on campaigns - Making sure the data our teams rely on is clean, consistent, and actionable. • The work spans strategy and execution - you will help identify the problems worth solving, then build the solutions.

• Design and develop solutions utilizing the latest cloud-based technologies. • Build and maintain highly complex web applications and software interface solutions using Vue 3 and TypeScript. • Develop responsive UIs leveraging Bootstrap and modern CSS practices. • Code and develop critical web services and RESTful APIs on multiple platforms. • Architect, develop, and support the ongoing operations of technical products/solutions. • Lead a team or work independently on complex tasks ensuring software specifications are met within timelines. • Determine the necessity for new algorithms and models in enterprise software, providing advice to customers and management. • Independently resolve sensitive and critical issues throughout the entire software lifecycle. • Design, prototype, and implement features for websites and applications. • Develop and debug web services across multiple platforms.

• Lead the design and implementation of core systems powering Runware’s AI platform • Build and evolve backend APIs, SDKs, and developer tools that make AI integration seamless • Integrate and optimise image and video models while supporting new modalities such as audio and custom LLMs • Architect scalable, reliable systems for inference orchestration and workload optimisation • Partner with platform and infrastructure teams to drive performance, reliability, and observability improvements • Shape technical direction through architectural discussions and long-term planning • Mentor engineers through code and design reviews, fostering technical excellence and growth • Contribute to documentation, tooling, and SDKs that enhance the overall developer experience • Drive initiatives that improve how we build, deploy, and maintain our platform

• Design and build features end-to-end across Fiplana’s Node.js backend • Contribute to architecture decisions, write clean and maintainable code • Collaborate closely with product, QA, and other engineering teams • Identify opportunities to improve existing code and reduce technical debt • Adopt AI-assisted development workflows in your day-to-day engineering practice