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Key Responsibilities
- Design, build, and optimize chatbot applications using Azure OpenAI GPT models and related frameworks.
- Develop, test, and refine prompt engineering and few-shot learning strategies to improve response accuracy, coherence, and context retention.
- Implement and fine-tune RAG (Retrieval-Augmented Generation) pipelines using LangChain and Azure Cognitive Search.
- Integrate AI models with Azure services (e.g., Azure ML, Cognitive Services, and Function Apps) for production-grade deployments.
- Conduct A/B testing, model performance analysis, and user feedback evaluation to enhance chatbot quality and responsiveness.
- Collaborate with data scientists, engineers, and product teams to translate business requirements into AI-driven solutions.
- Manage versioning, deployment, and monitoring of AI models using Azure ML or similar MLOps frameworks.
Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
- Minimum 5 years of experience in software development or AI engineering, with at least 3 years in LLM-based applications.
- Proven expertise in Python, LangChain, and Azure OpenAI ecosystem.
- Hands-on experience designing and deploying chatbots and RAG pipelines in production.
- Excellent analytical mindset with experience in performance tuning, prompt optimization, and model evaluation metrics.
- Familiarity with version control, CI/CD, and MLOps practices on Azure.
 
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Jireli Gem Mejia Cabria EA License No.: 02C3423 Personnel Registration No.: R1434374
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Key Skills
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