Job Summary

We are seeking an innovative and highly skilled Generative AI Scientist to research, develop, and deploy cutting-edge AI solutions powered by Large Language Models (LLMs), multimodal AI systems, and generative machine learning technologies. The successful candidate will design advanced AI models that generate text, images, code, and other forms of content while driving business innovation and automation.

Key Responsibilities

• Research, develop, and optimize Generative AI models and applications.
• Fine-tune and evaluate Large Language Models (LLMs) for domain-specific use cases.
• Design and implement Retrieval-Augmented Generation (RAG) systems to improve AI accuracy and reliability.
• Develop AI-powered solutions for content generation, conversational AI, document intelligence, and decision support systems.
• Create and maintain prompt engineering frameworks and AI evaluation methodologies.
• Collaborate with data scientists, software engineers, and business stakeholders to deliver AI-driven products.
• Conduct model benchmarking, performance analysis, and continuous improvement initiatives.
• Implement responsible AI practices, including bias detection, safety monitoring, and model governance.
• Stay current with advancements in Generative AI, foundation models, multimodal AI, and emerging research.

Required Qualifications

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Mathematics, or a related field.
• Strong experience with machine learning, deep learning, and Generative AI technologies.
• Proficiency in Python and AI frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, and LangChain.
• Experience working with Large Language Models (GPT, Llama, Claude, Gemini, or similar models).
• Strong understanding of NLP, transformer architectures, embeddings, vector databases, and model evaluation techniques.
• Experience building scalable AI applications and APIs.

Preferred Qualifications

• Experience with multimodal AI models involving text, image, audio, and video generation.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with MLOps, CI/CD pipelines, Docker, and Kubernetes.
• Experience with reinforcement learning, agentic AI systems, and AI orchestration frameworks.
• Contributions to AI research, open-source projects, or published papers.

Technical Skills

• Generative AI
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Natural Language Processing (NLP)
• Deep Learning
• PyTorch / TensorFlow
• Hugging Face
• LangChain / LlamaIndex
• Vector Databases (Pinecone, Weaviate, ChromaDB)
• MLOps & Model Deployment
• Cloud Computing (AWS, Azure, GCP)

Success Metrics

• Development and deployment of high-performing Generative AI solutions.
• Improved AI response quality, accuracy, and reliability.
• Increased business efficiency through AI-driven automation.
• Successful implementation of scalable and secure AI systems.
• Contribution to innovation, research, and AI product development.