Full Stack Engineer

About The Company Kyan Health is one of the fastest-growing advanced Employee Assistance Program (EAP) and mental wellbeing platforms globally. Established in Switzerland in 2021, the company has rapidly expanded its reach to support over 3 million individuals across more than 90 countries. Trusted by leading multinational enterprises, Kyan Health is backed by prominent investors including Swisscom Ventures, Amplo, and GreyMatter Capital, and has raised over €15 million in venture capital funding. The organization employs a diverse team of 35 professionals representing over 15 nationalities, operating through legal entities in Germany, Switzerland, and the United States, as well as partnerships with Employer of Record (EOR) providers and freelancers across various regions. Kyan Health is committed to building industry-leading solutions for mental health, offering innovative services such as unlimited access to comprehensive mental health applications and partnering with over 200 licensed psychologists and coaches. The company’s mission is to enhance mental wellbeing worldwide by leveraging cutting-edge technology and a dedicated team of experts. About The Role Kyan Health is seeking a highly skilled Senior Full Stack Engineer with a deep expertise in artificial intelligence to join our dynamic team. This pivotal role involves designing and developing advanced AI-augmented features for our mental health and wellbeing platform, with a focus on AI agents, multi-step reasoning systems, and large language model (LLM) application architectures. The successful candidate will work closely with engineering, data, product, and clinical teams to create end-to-end AI solutions that enhance user experience and clinical outcomes. Your architectural decisions and code contributions will have a significant and lasting impact on the platform’s evolution, as we are still in the early stages of developing our AI capabilities. The role offers an exceptional opportunity to shape the future of AI-driven mental health solutions in a fast-paced, innovative environment. Qualifications The ideal candidate will possess over six years of senior-level engineering experience with a strong emphasis on AI and full stack development. A comprehensive understanding of the modern LLM ecosystem, including models, embeddings, fine-tuning, structured outputs, and evaluation, is essential. Proven hands-on experience in building production AI agents, such as planning or multi-step systems, tool-calling, and retrieval-integrated workflows, is required. Strong proficiency in React, Next.js, and TypeScript is necessary, along with experience in cloud-hosted application development on platforms like Azure or GCP. A solid background in backend development with Node.js, API design, data modeling, authentication, and performance optimization is also crucial. Familiarity with analytical data warehouses like BigQuery, as well as a pragmatic engineering mindset focused on readable, maintainable code, is highly valued. Nice-to-have qualifications include prior experience in healthtech or HR tech, AI evaluation frameworks, observability, human-in-the-loop workflows, and mobile development skills. Responsibilities Design and implement AI architectures, including coding agents, task-specific AI systems, and multi-step workflows to power user-facing features.Develop and optimize retrieval pipelines, embeddings flows, and hybrid retrieval-augmented generation (RAG) or logic systems.Architect robust prompting strategies, function-calling mechanisms, and tool orchestration systems to facilitate seamless AI integrations.Own the development of features across Next.js frontend, backend services, and mobile/web platforms, translating product and clinical requirements into effective AI-powered user experiences.Collaborate with data teams to manage data pipelines, BigQuery analytics, and experimentation frameworks for continuous improvement.Build and maintain shared React and React Native component libraries and design systems, ensuring accessibility, performance, and multi-language support across markets.Set coding standards and best practices for AI-integrated features, mentoring team members on AI architecture, evaluation, and failure modes.Challenge existing assumptions, propose innovative solutions, and promote responsible AI usage within the organization. Benefits Kyan Health offers competitive compensation packages tailored to experience, along with meaningful stock options in a rapidly expanding AI-driven healthtech company. Employees gain full access to our comprehensive mental health app, enabling them to experience firsthand the impactful work they contribute to. The company fosters a flexible work environment, supporting hybrid work arrangements in Berlin or remote within CET±4. Employees enjoy autonomy and ownership over their projects, with opportunities to influence foundational AI systems from the ground up. The organization emphasizes a collaborative and low-ego culture, ensuring a supportive environment focused on innovation, growth, and making a tangible difference in mental health care. Additionally, team members benefit from professional development opportunities and the chance to work on cutting-edge AI technologies in a mission-driven setting. Equal Opportunity Kyan Health is committed to fostering an inclusive and diverse workplace. We are an equal opportunity employer and do not discriminate based on race, ethnicity, gender, age, sexual orientation, disability, or any other protected characteristic. We believe that a diverse team enhances innovation and drives better outcomes, and we actively encourage candidates from all backgrounds to apply. Our hiring process is designed to be fair, transparent, and accessible to all qualified applicants.