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AI Application Developer (ID: 3828)

STAFIDE

As an AI Application Developer, you will:brSolliciteer hieronder na het doorlezen van alle details en ondersteunende informatie met betrekking tot deze vacature.brullibr/liliDesign, develop, and implement AI-powered applications and intelligent automation solutions for enterprise use cases.br/liliBuild and maintain scalable backend services and APIs using Python and modern software engineering practices.br/liliDevelop and optimize LLM-based applications leveraging prompt engineering, structured outputs, and retrieval-augmented generation (RAG) techniques.br/liliDesign and implement semantic search and vector-search solutions to improve information retrieval and user experiences.br/liliIntegrate large language models into business applications while ensuring scalability, reliability, and maintainability.br/liliDevelop and consume RESTful APIs to support AI-driven workflows and system integrations.br/liliWork with structured and semi-structured data using JSON and other data exchange formats.br/liliPerform data analysis, comparison logic implementation, and validation to support AI solution accuracy and effectiveness.br/liliCollaborate with business stakeholders to translate use cases and requirements into practical technical implementations.br/liliEnsure AI solutions align with business objectives, governance requirements, security standards, and data management practices.br/liliParticipate in Agile development activities including technical discussions, solution design, testing, and deployment.br/liliContribute to continuous improvement initiatives focused on AI innovation, automation, and operational efficiency.br/li /ulbrWhat You Bring to the Table:brullibr/liliOverall 6-8 years of professional experience in software development, backend engineering, or AI solution development.br/liliStrong hands-on experience building AI-enabled applications and enterprise-grade intelligent solutions.br/liliExpert-level Python development skills with experience developing scalable applications and services.br/liliStrong experience working with SQL for data analysis, querying, validation, and business logic implementation.br/liliHands-on experience designing and developing RESTful APIs and backend components.br/liliPractical experience working with Large Language Models (LLMs) and AI application development frameworks.br/liliStrong understanding of prompt engineering techniques for enterprise AI use cases.br/liliExperience implementing Retrieval-Augmented Generation (RAG) architectures and vector-search-based solutions.br/liliKnowledge of semantic search concepts and information retrieval methodologies.br/liliExperience handling JSON and structured data processing within application environments.br/liliFamiliarity with Microsoft Azure services and cloud-based solution development.br/liliUnderstanding of AI agents, modern AI workflows, and intelligent automation concepts.br/liliExperience working within Agile development environments and cross-functional teams.br/liliStrong communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders.br/liliAbility to balance technical implementation requirements with business objectives, governance, and data considerations.br/li /ulbrYou Should Possess the Ability to:brullibr/liliDesign and develop scalable AI-powered applications that address complex business challenges.br/liliTranslate business requirements and use cases into practical and effective technical solutions.br/liliImplement and optimize LLM-based workflows using prompt engineering, RAG, and semantic search techniques.br/liliBuild secure, reliable, and maintainable backend services and APIs.br/liliAnalyze large datasets and implement comparison logic to support intelligent decision-making processes.br/liliDevelop solutions that effectively integrate structured and unstructured data sources.br/liliTroubleshoot and resolve complex technical issues across AI and backend application environments.br/liliWork independently while collaborating effectively with multidisciplinary teams and stakeholders.br/liliCommunicate complex AI concepts in a clear and understandable manner to business users and decision-makers.br/liliAdapt to evolving AI technologies, enterprise requirements, and emerging industry best practices.br/li /ulbrWhat We Bring to the Table:brullibr/liliOpportunity to work on cutting-edge AI and large language model initiatives within enterprise environments.br/liliExposure to modern AI technologies including LLMs, RAG architectures, semantic search, and intelligent automation solutions.br/liliCollaborative Agile work environment focused on innovation, knowledge sharing, and continuous improvement.br/liliChallenging projects involving AI application development, business process transformation, and advanced analytics.br/liliHands-on experience with cloud-based technologies, scalable architectures, and enterprise-grade AI implementations.br/liliContinuous learning opportunities through exposure to emerging AI trends, tools, and best practices.br/liliA culture that encourages innovation, ownership, collaboration, and professional growth. xgiwjmb br/li /ulbrLet’s ConnectbrpWant to discuss this opportunity in more detail? Feel free to reach out. /pbr

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