AI Application Developer

STAFIDE

Job Location:

Amsterdam - Netherlands

Monthly Salary: Not Disclosed

Experience Required: 6-8years

Posted on: 3 days ago

Vacancies: 1 Vacancy

Job Summary

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.

Lets Connect

Want to discuss this opportunity in more detail Feel free to reach out.

Recruiter: Asha Krishnan

Phone:; Extn :146

E-mail:

LinkedIn: Skills:

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. Lets Connect Want to discuss this opportunity in more detail Feel free to reach out. Recruiter: Asha Krishnan Phone:; Extn :146 E-mail: LinkedIn: