Senior AI Engineer

We are seeking a highly skilled and experienced Senior AI Engineer to spearhead our AI initiatives. The ideal candidate will have a strong background in large language models (LLMs), instruction fine-tuning, data preparation, and Retrieval-Augmented Generation (RAG), including multi-RAG agent architectures. Additionally, extensive experience with image layering models such as Try on models is required. Familiarity with advanced AI technologies like AWS Bedrock and Mistral AI is essential. As a Senior AI Engineer, you will be responsible for driving the development and implementation of cutting-edge AI solutions, mentoring team members, and ensuring the alignment of AI projects with our business goals.

Responsibilities:

• Lead the development and deployment of large language models (LLMs) to address various business needs.
  
• Design and implement instruction fine-tuning techniques to optimize model performance and relevance.
  
• Oversee data preparation processes, ensuring high-quality and relevant datasets for training AI models.
  
• Develop and implement Retrieval-Augmented Generation (RAG) and multi-RAG agent architectures to enhance model outputs and accuracy.
  
• Implement image layering models for Virtual Try On like CatVTON.
  
• Integrate and leverage advanced AI technologies such as AWS Bedrock, Mistral AI, and LLAMA to enhance AI solutions.
  
• Collaborate with cross-functional teams to identify AI opportunities and develop solutions that drive business value.
  
• Mentor and guide junior AI engineers, fostering a culture of continuous learning and innovation.
  
• Stay current with the latest advancements in AI, machine learning, and natural language processing, and integrate best practices into projects.
  
• Develop and maintain documentation for AI models, processes, and workflows.
  
• Ensure the scalability, reliability, and security of AI solutions.
  
• Provide technical leadership and strategic direction for AI initiatives, aligning them with company objectives and industry standards.
  

Requirements:

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field (Master’s or Ph.D. preferred).
  
• Minimum 3 years of experience in a leadership role within AI/ML development.
  
• Expertise in large language models (LLMs) and natural language processing (NLP).
  
• Extensive experience in working with Retrieval-Augmented Generation (RAG) and multi-RAG agent architectures.
  
• Strong experience with instruction fine-tuning and optimizing AI models.
  
• Proficiency in data preparation techniques for training AI models.
  
• Hands-on experience with Graph Databases and open-source models like Mistral AI, LLAMA, and other advanced architectures.
  
• Proficiency in Python and frameworks like TensorFlow, PyTorch, or similar.
  
• Familiarity with cloud platforms and AI services (AWS, GCP, Azure).
  
• Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
  
• Strong communication and leadership skills, with the ability to mentor and guide team members.
  
• Knowledge of working with Graph database and Knowledge Base is a plus
  
• Demonstrated ability to drive AI projects from concept to implementation,ensuring alignment with business goals.