AI Application Developer (ID: 3828)

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.