STAFIDE
AI Application Developer (ID: 3828)
STAFIDE is hiring an AI Application Developer in Amsterdam to design and build enterprise AI applications: scalable Python backends and REST APIs, plus LLM features using prompt engineering, RAG, vector/semantic search, and JSON data handling, with Azure familiarity, in an Agile environment.
- Compensation
- Not disclosed
- Location
- Amsterdam, Netherlands
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 6+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 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
- Hands-on experience designing and developing RESTful APIs and backend components
- Practical experience working with LLMs and AI application development frameworks
- Strong understanding of prompt engineering techniques for enterprise AI use cases
- Experience implementing RAG architectures and vector-search-based solutions
- Knowledge of semantic search concepts and information retrieval methodologies
- Experience handling JSON and structured data processing
- 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 for collaborating with technical and non-technical stakeholders
- Ability to balance technical implementation with business objectives, governance, and data considerations
Full description
**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.