Generative AI Engineer

Skills Required

LLM

RAG

Finetune

Vector databases

DL

generative AI

AI Agents

Ownership

Seeker Mindset

Passionate Towards Work

Extremely Ambitious

Ability to comprehend

Computer vision

Cloud deployment

leadership experience

• Develop and implement cutting-edge generative AI solutions, leveraging LLMs and RAG techniques to solve complex business challenges and drive innovation.
• Design and optimize AI agents that automate tasks, enhance decision-making processes, and improve overall operational efficiency across various departments.
• Spearhead the implementation of vector databases to efficiently store and retrieve high-dimensional data, enabling faster and more accurate AI model performance.
• Lead the fine-tuning of pre-trained models, adapting them to specific use cases and improving their performance on domain-specific tasks.
• Collaborate with cross-functional teams to integrate generative AI capabilities into existing products and services, enhancing user experiences and creating new value propositions.
• Conduct thorough research on emerging deep learning techniques and architectures, staying at the forefront of AI advancements and applying them to real-world problems.
• Develop and maintain scalable AI pipelines that streamline data processing, model training, and deployment processes, ensuring efficient and reliable AI operations.
• Demonstrate strong ownership by taking responsibility for end-to-end AI project lifecycles, from concept to production deployment and ongoing optimization.
• Cultivate a seeker mindset by continuously exploring new AI methodologies and tools, actively contributing to the team's knowledge base and fostering a culture of innovation.
• Showcase passion towards work by eagerly tackling complex AI challenges, pushing boundaries, and consistently delivering high-quality solutions that exceed expectations.