Senior Full Stack Engineer

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.

• Building an industry leading solution for mental well-being
• 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 +
• React Native (plus React Native Web)
• Component libraries/design system

Backend & Data

• (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 , 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 + + TypeScript experience.
• Experience building cloud-hosted applications (Azure, GCP, etc.).
• Solid backend experience with , 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), 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.