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Full stack developer - ai applications - afarax

Bruxelles
Afarax
Publiée le 8 juin
Description de l'offre

Afarax is looking for a freelance Full Stack Developer - AI Applications. We need you!

Check you match the skill requirements for this role, as well as associated experience, then apply with your CV below.

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 microservices 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 & DevOps

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

Implement and maintain containerized solutions using Kubernetes and modern DevOps 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 / TypeScript ecosystem

Responsive and user-centric UI development

Backend

Python (FastAPI, Django, Flask)

Node.js and/or Java Spring Boot

API and microservices development

Databases

PostgreSQL, MySQL or equivalent relational databases

MongoDB, Redis or equivalent NoSQL technologies

Cloud & DevOps

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 TensorFlow 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 within 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. xphnsxz

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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