As an AI Application Developer, you will: - Design, develop, and implement AI-powered applications and intelligent automation solutions for enterprise use cases. - Build and maintain scalable backend services and APIs using Python and modern software engineering practices. - Develop and optimize LLM-based applications leveraging prompt engineering, structured outputs, and retrieval-augmented generation (RAG) techniques. - Design and implement semantic search and vector-search solutions to improve information retrieval and user experiences. - Integrate large language models into business applications while ensuring scalability, reliability, and maintainability. - Develop and consume RESTful APIs to support AI-driven workflows and system integrations. - Work with structured and semi-structured data using JSON and other data exchange formats. - Perform data analysis, comparison logic implementation, and validation to support AI solution accuracy and effectiveness. - Collaborate with business stakeholders to translate use cases and requirements into practical technical implementations. - Ensure AI solutions align with business objectives, governance requirements, security standards, and data management practices. - Participate in Agile development activities including technical discussions, solution design, testing, and deployment. - Contribute to continuous improvement initiatives focused on AI innovation, automation, and operational efficiency. What You Bring to the Table: - Overall 6-8 years of professional experience in software development, backend engineering, or AI solution development. - Strong hands-on experience building AI-enabled applications and enterprise-grade intelligent solutions. - Expert-level Python development skills with experience developing scalable applications and services. - Strong experience working with SQL for data analysis, querying, validation, and business logic implementation. - Hands-on experience designing and developing RESTful APIs and backend components. - Practical experience working with Large Language Models (LLMs) and AI application development frameworks. - Strong understanding of prompt engineering techniques for enterprise AI use cases. - Experience implementing Retrieval-Augmented Generation (RAG) architectures and vector-search-based solutions. - Knowledge of semantic search concepts and information retrieval methodologies. - Experience handling JSON and structured data processing within application environments. - Familiarity with Microsoft Azure services and cloud-based solution development. - Understanding of AI agents, modern AI workflows, and intelligent automation concepts. - Experience working within Agile development environments and cross-functional teams. - Strong communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders. - Ability to balance technical implementation requirements with business objectives, governance, and data considerations. You Should Possess the Ability to: - Design and develop scalable AI-powered applications that address complex business challenges. - Translate business requirements and use cases into practical and effective technical solutions. - Implement and optimize LLM-based workflows using prompt engineering, RAG, and semantic search techniques. - Build secure, reliable, and maintainable backend services and APIs. - Analyze large datasets and implement comparison logic to support intelligent decision-making processes. - Develop solutions that effectively integrate structured and unstructured data sources. - Troubleshoot and resolve complex technical issues across AI and backend application environments. - Work independently while collaborating effectively with multidisciplinary teams and stakeholders. - Communicate complex AI concepts in a clear and understandable manner to business users and decision-makers. - Adapt to evolving AI technologies, enterprise requirements, and emerging industry best practices. What We Bring to the Table: - Opportunity to work on cutting-edge AI and large language model initiatives within enterprise environments. - Exposure to modern AI technologies including LLMs, RAG architectures, semantic search, and intelligent automation solutions. - Collaborative Agile work environment focused on innovation, knowledge sharing, and continuous improvement. - Challenging projects involving AI application development, business process transformation, and advanced analytics. - Hands-on experience with cloud-based technologies, scalable architectures, and enterprise-grade AI implementations. - Continuous learning opportunities through exposure to emerging AI trends, tools, and best practices. - A culture that encourages innovation, ownership, collaboration, and professional growth. Let’s Connect Want to discuss this opportunity in more detail? Feel free to reach out. Recruiter: Asha Krishnan Phone: +31 20 369 0609 ; Extn :146 E-mail: asha.k@stafide.nl LinkedIn: https://www.linkedin.com/in/asha-krishnan