Application Developer Medior

MC Expert

Brussels, Belgiumonsitecontractmid

We are looking for a hands-on Full Stack Developer to build and deploy scalable AI-powered applications. The ideal candidate will have experience in both frontend and backend development, with a strong focus on AI integration and collaboration with AI/ML engineers.

Description

About the Role

We are seeking a hands-on Full Stack Developer to build and deploy scalable AI-powered applications that enhance user experiences and business operations. You will work at the intersection of frontend development, backend engineering, and AI integration, ensuring seamless, high-performance, and intelligent solutions. This role is ideal for a developer passionate about bridging the gap between traditional software engineering and cutting-edge AI technologies.

Key Responsibilities

Full Stack Development

•Design, develop, and maintain end-to-end AI-driven applications, from responsive UIs to robust backend services.

•Build RESTful APIs and microservices to integrate AI models (e.g., LLMs, RAG pipelines, or custom ML models) into production systems.

•Implement real-time data processing and workflows to support AI features (e.g., chatbots, recommendation engines, or predictive analytics).

•Optimize application performance, scalability, and security for high-traffic, AI-enabled platforms.

AI Integration & Collaboration

•Work closely with AI/ML engineers to deploy and operationalize models (e.g., via APIs, SDKs, or embedded inference).

•Develop user interfaces for AI-powered tools (e.g., dashboards, chat interfaces, or interactive visualizations).

•Ensure seamless integration of AI features into existing applications, including fallback mechanisms and graceful degradation.

•Collaborate with data scientists to refine model inputs/outputs and improve usability.

Infrastructure & DevOps

•Deploy and manage cloud-based infrastructure (i.c., Azure) for AI applications, including containerization (Kubernetes) and CI/CD pipelines.

•Implement monitoring, logging, and observability tools (e.g., Prometheus, Grafana, ELK) to track AI model performance and system health.

•Optimize latency, cost, and reliability for AI workloads (e.g., model serving, vector databases, or batch processing).

User Experience & Testing

•Design intuitive UIs for AI-driven features, prioritizing accessibility and usability.

•Develop automated testing frameworks (unit, integration, E2E) for both frontend and backend components, including AI model validation.

•Conduct A/B testing and gather user feedback to iterate on AI features.

Compliance & Governance

•Ensure applications comply with data privacy regulations (e.g., GDPR) and security best practices.

•Document APIs, architecture decisions, and AI integration workflows for cross-team collaboration.

Profile

Education:

Bachelor’s/Master’s in Computer Science, Software Engineering, or equivalent experience.

Experience:

•3+ years in full stack development (frontend + backend).

•Hands-on experience with AI/ML integration (e.g., calling LLM APIs, deploying models, or working with RAG systems).

Proficiency in modern frameworks:

•Frontend: React

•Backend: Python (FastAPI, Django, Flask), Node.js, or Java/Spring.

•Databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis).

•Cloud: Azure, AWS, or GCP (e.g., serverless, Kubernetes).

•Familiarity with AI tools/libraries (e.g., LangChain, Hugging Face, TensorFlow Serving) is a plus.

Nice to Have:

•Experience with vector databases (e.g., Elastic, chromaDB) or retrieval systems.

•Knowledge of conversational AI (e.g., chatbots, voice assistants).

•Background in financial services, healthcare, or regulated industries.

Soft Skills

•Strong problem-solving and debugging skills.

•Ability to collaborate with AI teams, designers, and product managers.

•Ownership of features from development to production.

•Clear communication and documentation skills.

Competitive

Job Info

Type

contract

Level

mid

Work

onsite

Salary

Competitive

Posted

Jun 8, 2026

Start Date

Jul 1, 2026

Deadline

Jun 19, 2026

Tech Stack

ReactPythonFastAPIDjangoFlaskNode.jsJavaPostgreSQLMySQLMongoDBRedisAzureAWSGCPKubernetesPrometheusGrafanaELK