AI Applications Developer

The ideal candidate will serve as a bridge between business stakeholders and technical teams, translating operational requirements into practical AI-driven solutions. This role involves evaluating existing enterprise AI platforms and developing customized AI applications within a secure, controlled technology environment., The developer will have hands-on experience with Python, Azure OpenAI, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering. The position also requires strong technical architecture, application development, testing, documentation, and Responsible AI implementation skills., * Gather and analyze business requirements and translate complex operational processes into detailed technical specifications for AI implementation.

• Evaluate existing enterprise AI platforms and tools to determine whether to leverage available solutions or develop customized applications.
• Design, architect, prototype, and deploy custom AI applications using Python and other relevant programming technologies.
• Develop and implement Generative AI solutions using Large Language Models (LLMs), Azure OpenAI, and approved enterprise AI platforms.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines, vector databases, embeddings, and AI-powered workflows.
• Apply advanced prompt engineering, model fine-tuning, and AI agent integration techniques to improve application performance.
• Collaborate with business stakeholders and technical teams to identify opportunities for AI adoption and process automation.
• Implement AI security controls, guardrails, and responsible AI practices to minimize bias, hallucinations, and security vulnerabilities.
• Maintain comprehensive technical documentation covering source code, application architecture, system prompts, workflows, and deployment procedures.
• Perform application development activities, including coding, unit testing, integration testing, troubleshooting, and deployment.
• Utilize development tools such as GitHub Copilot to improve coding efficiency, documentation, and test automation.
• Ensure AI solutions comply with organizational security, privacy, governance, and Responsible AI standards.
• Communicate technical concepts, AI capabilities, limitations, and performance considerations to non-technical stakeholders.

• Master’s degree in Artificial Intelligence or a related field, or at least 2 years of hands-on AI development experience.
• Strong experience in business requirement gathering and translating business needs into technical solutions.
• Hands-on experience with Artificial Intelligence, Generative AI, and Large Language Models (LLMs).
• Strong understanding of prompt engineering and Retrieval-Augmented Generation (RAG) architectures.
• Experience with software development methodologies, including analysis, design, coding, testing, troubleshooting, and implementation.
• Knowledge of multiple programming languages, database management systems, development platforms, and system integrations.
• Understanding of Agile development methodologies.
• Knowledge of AI governance, data privacy, security, and Responsible AI principles.

Preferred Technical Skills

• Azure OpenAI and Azure AI services.
• Python programming.
• SQL and database management.
• C# and .NET Framework.
• Microsoft Azure Cloud Architecture and Azure AI Foundry.
• Google Cloud Platform (GCP), Vertex AI, Gemini, and NotebookLM.
• Generative AI, LLMs, embeddings, vector databases, and foundation models.
• Building and implementing RAG pipelines and AI agents.
• Advanced prompt engineering and foundation model fine-tuning.
• Azure AI Content Safety, AI guardrails, and Responsible AI Dashboard.
• MLOps, CI/CD pipelines, and AI model lifecycle management. xrbllit
• Microsoft GitHub Copilot and AI-assisted development tools.