Generative AI Engineer_4+yrs

Zorba AI; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A technology company specializing in generative AI is seeking an experienced developer to design and implement application solutions. The role requires 4-10 years of experience, strong proficiency in Python, and hands-on experience with generative models like OpenAI GPT. Candidates should also be familiar with AWS technologies and capable of collaborating with teams to integrate AI solutions. The position offers a dynamic environment with responsibilities ranging from model optimization to research in AI advancements.

Qualifications

• 4-10 years of experience in relevant fields.
• Hands-on experience with generative AI models.
• Familiarity with AWS serverless architecture.

Responsibilities

• Design and develop application solutions using generative models.
• Collaborate to integrate AI solutions into workflows.
• Research advancements in generative AI technologies.
• Optimize generative models for performance and efficiency.
• Troubleshoot generative AI model issues.
• Document generative AI models and applications.
• Manage large datasets for model training and evaluation.
• Implement AI coding assistants and version control.
• Conduct rigorous testing of systems.

Skills

Python proficiency

Prompt engineering

Generative text model expertise

Collaboration with cross-functional teams

AI coding assistants usage

Tools

AWS Bedrock

Azure OpenAI

Git

Job description

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.