The Role
Design, develop, and deploy AI-powered enterprise applications using Python, LLMs, RAG, and vector/semantic search. Build scalable backend services and RESTful APIs, handle structured and semi-structured data, perform data analysis and validation, collaborate with stakeholders, ensure governance/security, and participate in Agile delivery and continuous improvement.
Summary Generated by Built In
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
LinkedIn: https://www.linkedin.com/in/asha-krishnan
Skills Required
- 6-8 years of professional experience in software development, backend engineering, or AI solution development
- Expert-level Python development skills for building scalable applications and services
- Strong experience 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 Large Language Models (LLMs) and AI application frameworks
- Strong understanding and hands-on experience with prompt engineering techniques
- Experience implementing Retrieval-Augmented Generation (RAG) architectures and vector-search solutions
- Knowledge of semantic search concepts and information retrieval methodologies
- Experience handling JSON and structured/semi-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 to collaborate with technical and non-technical stakeholders
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
STAFIDE is a Netherlands-based niche technology talent consulting company operating across Europe. It helps organizations identify, recruit, and deploy technology professionals in areas including cybersecurity, cloud engineering, software development, data analytics, ERP, infrastructure, and digital transformation. Its services include recruitment, workforce engagement, secondment, onboarding support, workforce deployment, and workforce analytics that support technology hiring and expansion.
.jpg)
