About us:

We are one of the fastest-growing advanced Employee Assistance Program (EAP) and mental wellbeing platforms in the world. Founded in Switzerland in 2021, we support more than 3 million covered lives across 90+ countries, trusted by market-leading multinational enterprises and backed at Series A by Swisscom Ventures, Amplo, and GreyMatter Capital.

Our team of 35 individuals of 15+ nationalities is employed directly through our legal entities in Germany, Switzerland, and the US (Texas, Rhode Island, Florida), via Employer of Record (EOR) partners in Canada, Spain, the Netherlands, Belgium, South Africa, Denmark and the UK, and through freelancers in Pakistan and other locations.

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 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.

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:

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.

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 or remote within CET±4.
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), ( 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.

Kyanhealth

Open Vacancies (1)

Senior Full Stack Engineer (f/m/d)