Stellenbeschreibung:
About us:Kyan Health is an AI-powered enterprise solution that connects employee well-being with measurable business impact. Using predictive analytics, Kyan helps companies monitor and reduce risks like absenteeism, turnover, and presenteeism.
We believe in harmonizing work and life, fostering a positive environment that champions performance and personal growth and well-being at the same time. Our culture thrives on innovation, collaboration, and the well-being of every team member.
Some things we’re proud of🧠 Building an industry leading solution for mental well-being🌎 300.000+ users across 90+ countries🤝 Partnered with 200+ licensed psychologists and coaches💲 €15M+ venture capital raised from renowned investors🎁 Awesome benefits, including unlimited access to our Comprehensive Mental Health App
About The RoleKyan Health is building the most advanced AI-augmented mental health and wellbeing platform in Europe. Our mission is to bring high-quality, clinically-grounded psychological support to employees and families across multiple countries, languages, and cultural contexts — with AI playing a central role.
We are looking for a Junior Full Stack Engineer with deep AI experience, particularly in:AI agents & multi-step reasoning systemsLLM application architecturesTool-calling, retrieval, orchestration, and evaluationModern AI toolchains and best practices
You will work closely with engineering, data, product, and clinical teams to build our AI features end-to-end and help shape the future of our platform.
This is a role with massive influence — we’re early enough that your architectural choices, code, and AI expertise will have a lasting impact.
Our stack(You don’t need all of this, but strong React/TypeScript + AI foundations are essential.)FrontendTypeScriptReact + Next.jsReact Native (plus React Native Web)Component libraries/design system
Backend & DataNode.js (TypeScript)Event-driven and service-oriented architectureBigQuery, PostgreSQL, NoSQL storesVector databases, retrieval pipelinesCloud infra (GCP/Azure)
AI Tooling & EcosystemOpenAI API & AssistantsAzure OpenAI (GPT, embeddings, structured outputs)LangChain, LlamaIndex, OpenAI function callingAgent frameworks (custom, or e.g. LangGraph-style)Evaluation suites, guardrails, prompt toolingMonitoring + model observability
What You'll do:AI Architecture & Agentic SystemsDesign and implement coding agents, task-specific AI agents, and multi-step workflows that power user-facing features.Build and refine retrieval pipelines, embeddings flows, and hybrid RAG/logic systems.Architect robust prompting, function-calling, and tool orchestration systems.
Full Stack Product DevelopmentOwn features across Next.js, backend services, and mobile/web.Translate product and clinical requirements into AI-powered user experiences.Work with data pipelines, BigQuery, analytics, and experimentation frameworks.
Cross-platform UI SystemsBuild and evolve our shared React/React Native component library and design system.Ensure accessibility, performance, and multi-market language support.
Technical LeadershipSet coding standards for AI-integrated features.Mentor others on AI architecture, LLM patterns, evaluation, and failures modes.Challenge assumptions, propose better approaches, and push for pragmatic, responsible AI usage.
Who We're Looking ForRequired:Junior-level engineering experience, ideally 1-3 years, with strong autonomy.Deep understanding of the modern LLM ecosystem: models, embeddings, fine-tuning, structured outputs, evaluation, latency/cost tradeoffs.Hands-on experience building production AI agents(e.g., planning/multi-step systems, tool-calling, retrieval-integrated workflows).Strong React + Next.js + TypeScript experience.Experience building cloud-hosted applications (Azure, GCP, etc.).Solid backend experience with Node.js, APIs, data modeling, auth, performance.Familiarity with BigQuery or similar analytical data warehouses.Strong product awareness — focus on usability, clarity, and delivering outcomes.Pragmatic engineering mindset: readable code, clear patterns, low complexity.
Nice to Have:Prior work in healthtech, HR tech, or other sensitive domains.Experience with evaluation frameworks, AI observability, or human-in-the-loop workflows.Background in mobile development (React Native, native iOS/Android).Experience with multi-language or multi-market products.
Why Join Us
Make an Impact: Your work will directly contribute to improving mental health in workplaces around the world.Ownership: You'll have the chance to take ownership of our content production processesInnovative Environment: Work in a greenfield space where your ideas aren't just welcome—they're essential.Collaborative Team: Join a supportive team where collaboration and innovation are at the heart of what we do. We are an easy to work with & low ego team, and want to keep it like that.
What's In It For YouFull Access to Our Comprehensive Mental Health App:Unlimited use of Kyan Health's AI well-being companion "KAI" and guided meditation courses. Unlimited sessions with licensed psychologists. Unlimited sessions with ICF-certified coaches.Competitive compensation, adjusted for experience.Meaningful stock options in a rapidly growing AI-driven healthtech company.Work with a mission-driven team and product that genuinely helps people.Hybrid in Berlin.Autonomy, ownership, and a chance to shape foundational AI systems from the ground up.
Interview Process:CV CheckGet to know Kyan, Girish (30 minutes Call)Get to know your manager, Nacho (45 minutes Call)Team Interview(s), Hans & Victoria ( 30 minutes each call)Onsite Live Coding Exercise (Nacho/Hans/Victoria, 120 minutes)Offer Stage: Meet the founder(s) (30 minutes) / Reference check / Offer
Please note: We only accept applications submitted through our official Careers Page. Applications submitted via other channels will not be considered.
🤩We are excited to hear from you!
⛔Please note that we do not work with agencies or external recruiters.
NOTE / HINWEIS:
EN: Please refer to Fuchsjobs for the source of your application
DE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung