Gen AI engineer

GenAI Engineer

Job Summary:

The GenAI Engineer is a pivotal role that focuses on developing and deploying cutting-edge Generative AI solutions to enhance our products and services. With a strong emphasis on Generative AI and LLMs, this position will have a significant impact on driving innovation and improving efficiency across the organization.

Key Responsibilities:

• Design and implement Generative AI models and ensure their efficient deployment within production settings.
• Develop, optimize, and maintain LLM pipelines to support diverse applications and user requirements.
• Utilize LangChain and RAG architecture to build robust solutions for document processing and data extraction.
• Apply advanced prompt engineering techniques to enhance model performance and user interactions.
• Collaborate with cross-functional teams to identify business needs and translate them into AI-driven solutions.
• Conduct rigorous testing and validation of AI models to ensure high levels of accuracy and reliability.
• Stay updated with the latest trends and advancements in Generative AI and recommend innovative practices.

Requirements:

• 5-7 years of experience in AI engineering, specifically in Generative AI and LLMs.
• Solid understanding of LangChain, RAG architecture, and their applications in AI solutions.
• Proficiency in prompt engineering methodologies and techniques for optimizing AI interactions.
• Hands-on experience with AWS services relevant to deploying LLM pipelines in a production environment.
• Strong analytical skills and ability to interpret complex data structures and documents.
• Excellent problem-solving skills coupled with an innovative mindset.
• Effective communication skills with the ability to collaborate across multidisciplinary teams.

Preferred Qualifications:

• Experience in leading AI projects from conception to deployment in a production environment.
• Familiarity with various AI frameworks and tools used for model training and evaluation.
• Knowledge of compliance and ethical standards related to AI and machine learning.
• Experience working in Agile development environments.
• Advanced degree in Computer Science, Data Science, or a related field.