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 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 positions (1)

Kyanhealth

Open positions (1)