- STAFIDE
- Amsterdam, NH
- Full-Time
- <72 Hours
AI Application Developer (ID: 3828).
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AI Application Developer (ID: 3828): our view in 3 lines...
- The Role:This role is for an experienced developer building AI-powered enterprise applications and automation solutions.
- The Person:The person will design and develop AI-powered applications, build backend services and APIs, implement LLM, RAG and semantic search solutions, and work with stakeholders on technical delivery.
- Requirements:The ideal candidate has 6-8 years of professional experience, expert-level Python, SQL, Large Language Models, Retrieval-Augmented Generation, JSON, and Microsoft Azure.
About the role
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