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

- **Company:** Kando Care
- **Location:** Charleroi, Belgium (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Flutter, Query Performance, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon S3, Advanced Message Queuing Protocol, Cloud Computing, Databases, Information Engineering, Software Debugging, Dependency Injection, DevOps, Python (Programming Language), PostgreSQL, Machine Learning, Query Optimization, Queueing Systems, RabbitMQ, Software Engineering, SQLAlchemy, Speech Recognition, WebSocket, Data Logging, Pytorch, ReactJS, Large Language Models, Audio Streaming, Indexer, Backend, Fastapi, Gitlab-ci, Kubernetes, HuggingFace, Apache Kafka, React Native, Front End Software Development, Api Design, Docker
- **Published:** September 5, 2026
- **Apply:** https://www.adzuna.be/details/5870287472

## About the Role

* 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 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

## Description

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., * 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


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