Generative AI Engineer - Data Modeling

As a Gen AI Engineer at StatusNeo, you will be responsible for developing, optimizing, and deploying AI models and solutions with a focus on Generative AI, Prompt Engineering, Retrieval-Augmented Generation (RAG) models, and Large Language Models (LLMs). You will collaborate closely with cross-functional teams to design and implement scalable AI solutions on various cloud :

• AI Model Development : Design, train, and fine-tune generative AI models, LLMs, and RAG models to address specific business use cases.
• Prompt Engineering : Develop, test, and optimize prompts to enhance the performance and accuracy of AI models in generating desired outputs.
• Cloud Expertise : Deploy and manage AI models on cloud platforms (e. g., AWS, Azure, GCP), ensuring scalability, security, and cost-efficiency.
• Data Management : Collaborate with data scientists and engineers to ensure high-quality data ingestion, preprocessing, and feature engineering.
• Model Evaluation and Tuning : Continuously monitor and evaluate model performance, making adjustments to improve accuracy and efficiency.
• Innovation : Stay up-to-date with the latest advancements in AI, LLMs, and cloud technologies, and incorporate new techniques and tools into the development process.
• Collaboration : Work closely with product managers, software engineers, and other stakeholders to integrate AI solutions into products and services.
• Documentation : Maintain comprehensive documentation of models, algorithms, and development processes to ensure transparency and :
• Bachelor's or Master's degree in Computer Science, AI / ML, Data Science, or a related field.
• Proven experience in developing and deploying AI models, particularly in Generative AI, LLMs, and RAG models.
• Hands-on experience with cloud platforms like AWS, Azure, or GCP for AI / ML workloads.
• Strong background in Prompt Engineering and AI model optimization techniques.

Technical Skills :

Soft Skills :

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