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 Role
Kyan 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 systems
- LLM application architectures
- Tool-calling, retrieval, orchestration, and evaluation
- Modern 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.)
Frontend
- TypeScript
- React + Next.js
- React Native (plus React Native Web)
- Component libraries/design system
Backend & Data
- Node.js (TypeScript)
- Event-driven and service-oriented architecture
- BigQuery, PostgreSQL, NoSQL stores
- Vector databases, retrieval pipelines
- Cloud infra (GCP/Azure)
AI Tooling & Ecosystem
- OpenAI API & Assistants
- Azure OpenAI (GPT, embeddings, structured outputs)
- LangChain, LlamaIndex, OpenAI function calling
- Agent frameworks (custom, or e.g. LangGraph-style)
- Evaluation suites, guardrails, prompt tooling
- Monitoring + model observability
What You’ll do:
AI Architecture & Agentic Systems
- Design 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 Development
- Own 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 Systems
- Build and evolve our shared React/React Native component library and design system.
- Ensure accessibility, performance, and multi-market language support.
Technical Leadership
- Set 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 For
Required:
- 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 processes
Innovative 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 You
- Full 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 Check
- Get 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.