Gen AI Engineer_5+ years

• 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.