Generative AI Engineer_4+yrs

Experience : 4-10 Years.

Key Responsibilities:

• Design and develop application solutions using generative models, RAG and vector database and vector search.
• Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems.
• Research and stay current on the latest advancements in generative AI technologies, methodologies, and best practices.
• Optimize and fine-tune generative models for performance, scalability, and efficiency.
• Troubleshoot and resolve issues related to generative AI models, implementations, and workflows.
• Create and maintain comprehensive documentation for generative AI models and their applications.
• Build efficient data pipelines and manage large datasets for model training and evaluation.
• Measure model outputs using appropriate metrics, with awareness of bias and fairness issues.
• Implement and use AI coding assistants (e.g., GitHub Copilot) and version control (Git).
• Conduct rigorous testing and build scalable, maintainable systems.
• Read, analyze, and implement recent AI research papers; conduct experiments as needed.
• Communicate complex technical concepts and findings to non-technical stakeholders.

Required Qualifications:

• Strong proficiency in Python and effective prompt engineering techniques; familiarity with other programming languages is a plus.
• Hands-on experience with leading generative text models (e.g., Claude, OpenAI GPT, Gemini), including model fine-tuning and customization.
• Proficiency in AWS Bedrock, including model access and knowledge base implementations; experience with Azure OpenAI.
• Solid experience with AWS serverless architecture; familiarity with Azure or GCP is desirable.
• Experience building and optimizing data pipelines for handling large-scale datasets.
• Knowledge of metrics for evaluating model performance, including bias and fairness considerations.
• Experience with AI coding assistants (e.g., GitHub Copilot), version control systems (Git), and scalable system design.
• Excellent documentation skills and experience collaborating with multi-disciplinary teams.
• Strong communication skills, with the ability to present technical concepts to non-technical audiences.