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Full Stack Developer; AI

Job in 1000, Brussels, Bruxelles-Capitale, Belgium
Listing for: afarax
Full Time position
Listed on 2026-06-09
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Engineer - Software, Full Stack Developer
Job Description & How to Apply Below
Position: afarax - Full Stack Developer (AI Applications)
afarax is looking for a freelance Full Stack Developer - AI Applications. We need you!

The project

Our client in the banking sector, is seeking an experienced Full Stack Developer - AI Applications to strengthen their team.

Key responsibilities

Full stack development

Design, develop and maintain end-to-end AI-enabled applications, from responsive user interfaces to robust backend services.

Build and maintain RESTful APIs and Micro Services integrating AI capabilities such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines and custom Machine Learning models.

Implement real-time data processing workflows supporting AI-driven functionalities including chatbots, recommendation engines and predictive analytics.

Ensure application scalability, performance, reliability and security across AI-enabled platforms.

Participate in architectural decisions and contribute to best practices for modern software development.

AI integration & collaboration

Collaborate closely with AI/ML engineers to deploy, integrate and operationalize Machine Learning models.

Develop intuitive interfaces for AI-powered applications, including dashboards, conversational interfaces and interactive visualizations.

Integrate AI functionalities into existing systems while ensuring robustness through fallback mechanisms and graceful degradation strategies.

Work with data scientists to optimize model inputs, outputs and user adoption.

Infrastructure & Dev Ops

Deploy and manage cloud-based environments, primarily on Microsoft Azure.

Implement and maintain containerized solutions using Kubernetes and modern Dev Ops practices.

Design and maintain CI/CD pipelines supporting rapid and reliable deployments.

Implement monitoring, logging and observability solutions to track system health and AI model performance.

Optimize reliability, latency and operational costs of AI workloads and services.

User experience & quality assurance

Design user-centric and accessible interfaces for AI-enabled applications.

Develop and maintain automated testing frameworks covering unit, integration and end-to-end testing.

Validate AI-driven functionalities through testing and performance monitoring.

Support continuous product improvement through experimentation, feedback collection and A/B testing.

Compliance & governance

Ensure compliance with security standards, data protection regulations (GDPR) and software development best practices.

Maintain clear technical documentation, including APIs, architecture decisions and integration patterns.

Contribute to governance, maintainability and knowledge sharing within the team.

Is this you?

Education:

Bachelor's or Master's degree in Computer Science, Software Engineering or equivalent practical experience.

Professional experience

Minimum 3 years of experience in Full Stack Development.

Proven experience integrating AI/ML capabilities into business applications.

Experience deploying and consuming LLM APIs, RAG architectures or Machine Learning services.

Experience working within Agile delivery environments.

Technical skills:

Frontend

React

Modern JavaScript / Type Script ecosystem

Responsive and user-centric UI development

Backend

Python (FastAPI, Django, Flask)

Node.js and/or Java Spring Boot

API and Micro Services development

Databases

Postgre

SQL, MySQL or equivalent relational databases

Mongo

DB, Redis or equivalent No

SQL technologies

Cloud & Dev Ops

Microsoft Azure (preferred), AWS or GCP

Kubernetes and containerization technologies

CI/CD pipelines

Infrastructure automation and cloud-native development

AI & Data technologies

Experience integrating AI services and Machine Learning models

Familiarity with frameworks such as Langchain, Hugging Face or Tensor Flow Serving

Understanding of AI application architectures and model lifecycle management

Nice-to-have skills

Experience with vector databases and retrieval systems (e.g. Chromadb, Elasticsearch, Pinecone)

Experience with conversational AI solutions such as chatbots or voice assistants

Knowledge of Generative AI architectures and Retrieval-Augmented Generation (RAG)

Experience with in regulated industries such as Financial Services, Healthcare or Utilities

Soft skills

Strong analytical, problem-solving and debugging capabilities

Ability to collaborate effectively with developers, AI engineers, product managers and designers

Ownership mindset with the ability to drive features from design through production deployment

Strong communication, documentation and stakeholder interaction skills

Curious, innovative and solution-oriented mindset

Ability to work both independently and within multidisciplinary teams

How afarax supports you?

You benefit from our extensive network

You will have access to projects that fit your expertise

We help and support you throughout your project

We offer the possibility to build a valuable and lasting partnership
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