Afarax - full stack developer (ai applications)

Afarax is looking for a freelance Full Stack Developer - AI Applications. We need you!br/ br/ h2The project /h2 br/ Our client in the banking sector, is seeking an experienced Full Stack Developer - AI Applications to strengthen their team.br/ br/ h2Key responsibilities /h2 ul liFull stack development ul liDesign, develop and maintain end-to-end AI-enabled applications, from responsive user interfaces to robust backend services. /li liBuild 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. /li liImplement real-time data processing workflows supporting AI-driven functionalities including chatbots, recommendation engines and predictive analytics. /li liEnsure application scalability, performance, reliability and security across AI-enabled platforms. /li liParticipate in architectural decisions and contribute to best practices for modern software development. /li /ul /li liAI integration collaboration ul liCollaborate closely with AI/ML engineers to deploy, integrate and operationalize Machine Learning models. /li liDevelop intuitive interfaces for AI-powered applications, including dashboards, conversational interfaces and interactive visualizations. /li liIntegrate AI functionalities into existing systems while ensuring robustness through fallback mechanisms and graceful degradation strategies. /li liWork with data scientists to optimize model inputs, outputs and user adoption. /li /ul /li liInfrastructure DevOps ul liDeploy and manage cloud-based environments, primarily on Microsoft Azure. /li liImplement and maintain containerized solutions using Kubernetes and modern DevOps practices. /li liDesign and maintain CI/CD pipelines supporting rapid and reliable deployments. /li liImplement monitoring, logging and observability solutions to track system health and AI model performance. /li liOptimize reliability, latency and operational costs of AI workloads and services. /li /ul /li liUser experience quality assurance ul liDesign user-centric and accessible interfaces for AI-enabled applications. /li liDevelop and maintain automated testing frameworks covering unit, integration and end-to-end testing. /li liValidate AI-driven functionalities through testing and performance monitoring. /li liSupport continuous product improvement through experimentation, feedback collection and A/B testing. /li /ul /li liCompliance governance ul liEnsure compliance with security standards, data protection regulations (GDPR) and software development best practices. /li liMaintain clear technical documentation, including APIs, architecture decisions and integration patterns. /li liContribute to governance, maintainability and knowledge sharing within the team. /li /ul /li /ul br/ h2Is this you? /h2 ul liEducation: Bachelor's or Master's degree in Computer Science, Software Engineering or equivalent practical experience. /li liProfessional experience ul liMinimum 3 years of experience in Full Stack Development. /li liProven experience integrating AI/ML capabilities into business applications. /li liExperience deploying and consuming LLM APIs, RAG architectures or Machine Learning services. /li liExperience working within Agile delivery environments. /li /ul /li liTechnical skills: ul liFrontend ul liReact /li liModern JavaScript / TypeScript ecosystem /li liResponsive and user-centric UI development /li /ul /li liBackend ul liPython (FastAPI, Django, Flask) /li liNode.js and/or Java Spring Boot /li liAPI and MicroServices development /li /ul /li liDatabases ul liPostgreSQL, MySQL or equivalent relational databases /li liMongoDB, Redis or equivalent NoSQL technologies /li /ul /li liCloud DevOps ul liMicrosoft Azure (preferred), AWS or GCP /li liKubernetes and containerization technologies /li liCI/CD pipelines /li liInfrastructure automation and cloud-native development /li /ul /li liAI Data technologies ul liExperience integrating AI services and Machine Learning models /li liFamiliarity with frameworks such as Langchain, Hugging Face or TensorFlow Serving /li liUnderstanding of AI application architectures and model lifecycle management /li /ul /li /ul /li liNice-to-have skills ul liExperience with vector databases and retrieval systems (e.g. Chromadb, Elasticsearch, Pinecone) /li liExperience with conversational AI solutions such as chatbots or voice assistants /li liKnowledge of Generative AI architectures and Retrieval-Augmented Generation (RAG) /li liExperience within regulated industries such as Financial Services, Healthcare or Utilities /li /ul /li liSoft skills ul liStrong analytical, problem-solving and debugging capabilities /li liAbility to collaborate effectively with developers, AI engineers, product managers and designers /li liOwnership mindset with the ability to drive features from design through production deployment /li liStrong communication, documentation and stakeholder interaction skills /li liCurious, innovative and solution-oriented mindset /li liAbility to work both independently and within multidisciplinary teams /li /ul /li /ul br/ h2How afarax supports you? /h2 ul liYou benefit from our extensive network /li liYou will have access to projects that fit your expertise /li liWe help and support you throughout your project /li liWe offer the possibility to build a valuable and lasting partnership /li /ul