Gen AI Engineer_4+yrs

Zorba AI is seeking a highly skilled Generative AI Engineer (GenAI) to design, develop, and deploy cutting-edge generative AI solutions. In this Bengaluru, India-based role, you will leverage your hands-on experience with large language models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and cloud-based AI services. You will collaborate with cross-functional teams to build scalable, production-grade AI systems and drive innovation across business workflows.

Key Responsibilities:

• Design and develop AI-driven application solutions using generative models, RAG frameworks, vector databases, and vector search technologies.
• Integrate generative AI solutions into existing enterprise workflows and systems.
• Fine-tune and optimize large language models for performance, scalability, and efficiency.
• Build and manage robust data pipelines for large-scale dataset handling, model training, and evaluation.
• Conduct research on emerging generative AI trends, tools, and methodologies.
• Implement rigorous testing frameworks and develop scalable, maintainable AI systems.
• Evaluate model outputs using appropriate performance metrics, ensuring bias and fairness considerations.
• Troubleshoot and resolve issues related to AI models and deployment workflows.
• Maintain comprehensive technical documentation.
• Leverage AI coding assistants (e.g., GitHub Copilot) and version control systems (Git) for efficient development.
• Communicate complex AI concepts and technical findings to non-technical stakeholders.

Required Qualifications:

• 4–7 years of professional experience in AI/ML or related domains.
• Strong proficiency in Python and prompt engineering techniques.
• Hands-on experience with leading generative AI models (e.g., Claude, OpenAI GPT, Gemini), including fine-tuning and customization.
• Experience with AWS Bedrock (model access, knowledge base implementations).
• Working knowledge of Azure OpenAI services.
• Strong experience with AWS serverless architecture; familiarity with Azure or GCP is an advantage.
• Experience in building scalable data pipelines and handling large datasets.
• Knowledge of model evaluation metrics, bias detection, and fairness assessment.
• Experience with AI coding assistants and version control tools (Git).
• Strong documentation, collaboration, and communication skills.

Preferred Skills:

• Experience in production-grade AI deployments.
• Strong analytical and problem-solving abilities.
• Ability to read, analyze, and implement recent AI research papers.
• Experience working in Agile environments.