Kyanhealth
Senior Full Stack Engineer (f/m/d)
1mo ago
SeniorRemoteai agentsllmtool-callingretrievalorchestration
Senior Full Stack Engineer with deep AI experience to develop advanced AI-augmented mental health platform.
About the company
- Kyan Health is a fast-growing, Series A mental health platform that helps more than three million people across 60+ countries reach support that works. We partner with global enterprises like On, IKEA, Hilti, Hitachi Energy, and FIFA, and we’re scaling rapidly across Europe and into the US.
- 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.
Responsibilities
- 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 Senior 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.
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.
Conditions
- 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.
How to apply
- CV Check
- Get to know Kyan, Girish (30 minutes Call)
- Get to know your manager, Nacho (45 minutes Call)
- Team Interview(s), ( 30 minutes each call)
- Online or Onsite Live Coding Exercise (Nacho/Team, 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.
Other
- 🧠 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
- (You don’t need all of this, but strong React/TypeScript + AI foundations are essential.)
- TypeScript
- React + Next.js
- React Native (plus React Native Web)
- Component libraries/design system
- Node.js (TypeScript)
- Event-driven and service-oriented architecture
- BigQuery, PostgreSQL, NoSQL stores
- Vector databases, retrieval pipelines
- Cloud infra (GCP/Azure)
- 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
- 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.
- 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.
- Build and evolve our shared React/React Native component library and design system.
- Ensure accessibility, performance, and multi-market language support.
- 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.
- Senior-level engineering experience , ideally 6+ 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.
- 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 or remote within CET±4.
- Autonomy, ownership, and a chance to shape foundational AI systems from the ground up.