Role Description We’re looking for a Senior AI Engineer to help build the next generation of intelligent experiences for Insight Timer, the world’s largest meditation and wellness community, with over 30 million users. You’ll work directly with our Head of AI and backend engineers to turn ambitious ideas into production-grade systems that make a real impact on people’s wellbeing. This role is focused on building, scaling, and operating real AI systems, not a research or data science position. You’ll: - Design and deploy agent workflows - Integrate them with our backend APIs - Build the evaluation and monitoring infrastructure that keeps them reliable at scale - Help define the frameworks, tools, and practices that shape how AI gets built across Insight Timer We’re a fast-moving team that values thoughtful engineering and real-world results. You’ll have the autonomy to make pragmatic tradeoffs, sometimes moving quickly to ship, sometimes investing deeply in quality and stability, always guided by what best serves our users. If you’re motivated by the challenge of building reliable, high-impact systems that reach millions, we’d love to meet you. Key Responsibilities - Design, build, and ship production-grade AI agents that interact with real users and systems at scale. - Build evaluation, testing, and monitoring systems to ensure agent reliability, safety, and continual improvement. - Architect flexible, modular workflows that make it easy to extend and iterate on AI capabilities. - Integrate agents with existing backend APIs and data systems, collaborating with backend engineers to expose the right capabilities. - Translate early AI prototypes into scalable, maintainable production systems used by millions of people. - Take ownership of Insight Timer’s GenAI infrastructure, shaping best practices, frameworks, and internal tooling. - Design data and feedback pipelines that help improve agent performance through real-world usage and, when appropriate, fine-tuning. - Stay current with emerging agent frameworks and infrastructure approaches, such as LangGraph, CrewAI, and AutoGen, adopting new techniques when they support product goals. Qualifications - 5+ years of experience in software engineering, including at least one production system involving AI agents or LLM-based automation. - Strong Python fundamentals. You write clear, reliable code, and know how to move fast without losing sight of maintainability. - Solid understanding of software design principles, modular architecture, and system integration. - Experience building or operating backend services, APIs, or distributed workflows in production. - Familiarity with agent frameworks such as LangGraph, CrewAI, AutoGen, or confidence learning similar systems quickly. - Comfortable designing evaluation, monitoring, and feedback pipelines to keep systems improving over time. - Thrive in a fast-paced environment where pragmatic trade-offs and iteration speed matter. - Motivated by impact. You care about building reliable systems that help millions live healthier, more meaningful lives. Benefits - We offer competitive salaries and options. - The role is fully remote, but you must be based in Australia. - Extra leave days are available for your well-being and birthday. - A generous L&D budget and wellbeing bonus. - We host a global company retreat each year.

• Design, build, and ship production-grade AI agents that interact with real users and systems at scale. • Build evaluation, testing, and monitoring systems to ensure agent reliability, safety, and continual improvement. • Architect flexible, modular workflows that make it easy to extend and iterate on AI capabilities. • Integrate agents with existing backend APIs and data systems, collaborating with backend engineers to expose the right capabilities. • Translate early AI prototypes into scalable, maintainable production systems used by millions of people. • Take ownership of Insight Timer’s GenAI infrastructure, shaping best practices, frameworks, and internal tooling. • Design data and feedback pipelines that help improve agent performance through real-world usage and, when appropriate, fine-tuning. • Stay current with emerging agent frameworks and infrastructure approaches, such as LangGraph, CrewAI, and AutoGen, adopting new techniques when they support product goals.

• Define and evolve GitLab's AI Platform Management capabilities across the platform, with a focus on the AI Control Plane. • Shape the direction of governance, orchestration, and audit capabilities, help teams make practical decisions in an ambiguous space, and build trust with engineering, design, and partner teams. • Lead product discovery and delivery for AI Control Plane capabilities that help administrators manage AI usage within GitLab. • Define product direction for configuration and governance experiences related to agents, Model Context Protocol servers, tools, skills, and approval flows. • Collaborate closely with engineering, design, and partner teams across AI Governance and related product groups. • Drive alignment across stakeholders by presenting trade-offs, alternatives, and product recommendations grounded in customer and business impact. • Own prioritization decisions for a platform area that supports multiple teams and products. • Partner with engineering managers and technical leaders across regions to deliver platform capabilities in an asynchronous, distributed environment. • Navigate cross-functional challenges with persistence, using escalation thoughtfully and only after working through options with peers. • Communicate strategy, decisions, and progress clearly so teams can move forward with shared context and accountability.

• Join a growing team and help design, build, and deploy next-generation AI-powered solutions • Work closely with product owners, architects, data engineers, and customer stakeholders • Deliver scalable and production-ready AI applications • Attend occasional meetings and workshops at customer premises in Athens