Back-End Software Engineer – AI & Voice Technology (Rust & Python)

At Kando, we build the OS of care — the missing layer that connects people, places of life and care systems.

In order to make an application, simply read through the following job description and make sure to attach relevant documents.

Our platform links beneficiaries, caregivers, relatives and tools — across all places of life, and on any device: Kando Box, smartphone, tablet, computer. At the core of the system is Kando Mind, a contextual intelligence designed to understand real situations, reduce cognitive load and orchestrate actions between humans and technologies.

Kando was founded by people from the field. Nearly 80% of our operational team comes from the healthcare sector. Kando has been financed for more than €4M, and our solutions are used daily by hundreds of users, in collaboration with major healthcare groups in Belgium and France.

We're just getting started.

THE MISSION

We are looking for a pragmatic Back-End Software Engineer to help us build and scale Kando's cloud infrastructure. You will work on the core services that power our real-time voice AI platform for healthcare, with high ownership and close collaboration with the founding team.

Kando processes voice interactions from healthcare professionals through a sophisticated pipeline: capturing audio, transcribing speech (Speech-To-Text), understanding intent via LLMs, performing specific actions (such as automatic report generation), and sending back textual and audio (Text-To-Speech) responses. You will build the reliable, performant backend systems that make this possible.

WHAT YOU WILL DO

- Own core services: develop and maintain our Kando assistants — API design, database operations, integration with third-party services (e.g., healthcare APIs)
- AI pipeline integration: orchestrate the STT → LLM → TTS pipelines, managing audio streaming and response latency optimization
- Real-time infrastructure: implement robust WebSocket handlers and message queue consumers (RabbitMQ/AMQP) to manage concurrent voice sessions without dropped connections or race conditions
- Data engineering: design and optimize PostgreSQL schemas for healthcare data (resident records, care plans, medical reports) with proper indexing, migrations, and query performance; audio data on Object Storage (S3)
- DevOps & infrastructure: manage our multi-environment deployments on Scaleway, configure Traefik reverse proxies, maintain Docker containers, improve our GitLab CI/CD pipelines
- Reliability & observability: implement logging, monitoring, and alerting to meet healthcare-grade reliability requirements

THE STACK

- Backend: Python (FastAPI), Rust (Axum)
- Frontend: React, Flutter
- Machine Learning: PyTorch, HuggingFace SDKs, vLLM
- DevOps/Infra: GitLab CI/CD, Docker, Traefik, Scaleway, S3

WHO YOU ARE

- Experienced: 3-6 years of professional experience in software engineering, with solid backend fundamentals
- Python proficient: you write clean, typed Python, understand async/await patterns and dependency injection, and know your way around FastAPI or similar frameworks
- Rustacean: experience with Rust and deep understanding of its core concepts
- Database literate: you can design normalized schemas, write efficient queries, and debug slow joins (SQLAlchemy/SQLModel and sqlx are a plus)
- DevOps comfortable: you can SSH into a server, debug a failing container, and write a CI pipeline without hand-holding
- Reliability focused: you think about edge cases, write tests, and understand that healthcare systems need to work at 3am on a Sunday

BONUS POINTS

- Kubernetes experience
- Message queues: RabbitMQ, Kafka, or similar
- Frontend curiosity: React, React Native, htmx or Flutter
- WebSockets: real-time xlxgzvr bidirectional communication and its pitfalls
- AI/audio experience: LLM APIs, speech-to-text, or audio streaming pipelines
- Healthcare/regulated industry: environments where data privacy and reliability aren't optional

HOW WE WORK

- Data security is a prerequisite, given our work with sensitive healthcare data
- We focus on solving real problems, not stacking features
- Strong involvement in product and UX decisions
- Short cycles, rapid prototyping, and real production deployments
- Technology serves usage: modern when it adds value, simple when it's the better choice

CONDITIONS

- Permanent contract (CDI)
- Position based in Charleroi, with hybrid remote work
- Attractive compensation package
- 4 or 5 day work week, at your choice
- Health insurance via Alan, meal vouchers, mobility budget
- MacBook Pro and high-quality equipment
- Access to best-in-class tools (JetBrains, Notion, Slack, Claude, …)

RECRUITMENT PROCESS

- First conversation with a member of the tech team (Robin or JB)
- Technical interview / case study at our office in Charleroi
- Discussion with the CEO (FX)
- Informal meeting with the team

To apply: -