Sr. AI Prompt Engineer

Job Summary: The ideal candidate will have a strong background in GenAI development, with a focus on Azure and OpenAI integration. Experience with AWS and Google GenAI services is preferred. Candidate will play a key role in designing, developing, and implementing cutting-edge GenAI solutions that leverage the power of Azure and OpenAI technologies.

Responsibilities:

. Design, develop, and implement GenAI solutions that integrate with Azure and OpenAI platforms.

. Collaborate with cross-functional teams to gather requirements and define project objectives.

. Conduct research and stay up-to-date with the latest advancements in GenAI, Azure, OpenAI, AWS, and Google GenAI technologies.

. Develop and maintain scalable and efficient codebase for GenAI applications.

. Optimize GenAI models and algorithms for performance and accuracy.

. Troubleshoot and debug GenAI applications, ensuring smooth operation and minimal downtime.

. Collaborate with data scientists and machine learning engineers to enhance GenAI capabilities.

. Provide technical guidance and mentorship to junior team members.

. Stay informed about industry trends and best practices in GenAI engineering and cloud service integration.

Requirements:

. Bachelor's or master's degree in computer science, Engineering, or a related field.

. Proven experience as a GenAI Engineer, with a focus on Azure and OpenAI integration. Experience with AWS and Google GenAI services is preferred.

. Strong programming skills in languages such as Python and/or Java.

. Experience with Azure services, including Azure Machine Learning, Azure Cognitive Services, and Azure Functions.

. Familiarity with OpenAI technologies, such as GPT-3/4 and reinforcement learning frameworks.

. Solid understanding of machine learning algorithms and deep learning frameworks.

. Proficiency in data preprocessing, feature engineering, and model evaluation techniques.

. Strong problem-solving and analytical skills.

. Excellent communication and collaboration abilities.

. Ability to work independently and as part of a team in a fast-paced environment.

Preferred Qualifications:

. Experience with AWS services, such as Amazon SageMaker, AWS Lambda, and AWS AI/ML services.

. Knowledge of Google Cloud services, including Google Cloud AI Platform, Google Cloud Functions, and Google Cloud AutoML.

. Experience with cloud-based deployment and scaling of GenAI applications on Azure, AWS, and Google Cloud.

. Knowledge of containerization technologies such as Docker and Kubernetes.

. Familiarity with DevOps practices and tools for CI/CD pipelines.

. Contributions to open-source GenAI or cloud service integration projects.