- Development, deployment and ownership new AI services
- Ownership and enhancement/debugging of existing AI services
- Prompting and fine-tuning Large Language Models
- Exploration of evolving prompt engineering techniques
- Exploration of evolving RAG frameworks
- Building python APIs
- 2-4 years of overall experience
- Strong programming skills in Python programming and API development
- Knowledge and understanding of generative AI techniques, including Large Language Models, Multimodal models and diffusion models.
- Experience in prompting and fine-tuning GPT series of models using OpenAI API
- Experience with AWS services (EC2, Lamda, etc.)
- Ability to work independently and in a team
- Excellent communication and collaboration skills
- Bachelors degree in Computer Science, Artificial Intelligence, or related field
- Experience in working with SaaS applications
- Experience in prompting and fine-tuning open source LLMs
- Understanding of natural language processing (NLP) and text generation algorithms
- Experience with unstructured data preprocessing and cleaning techniques
Generative AI Engineer - Bengaluru, India - Yarnit
Description
Company Description
Yarnit is a generative AI-powered platform for marketing content creation built for Brands and Enterprises. Our platform allows users to ideate, write, design, audit, publish, and measure content performance all in one place. Whether it's digital ads, blogs, emails, or social media posts, Yarnit enables users to create engaging and personalised content for their brand, tailored to their audience within minutes.
Role Description
This is a full-time hybrid role for a Generative AI Engineer at Yarnit. As a Generative AI Engineer, you will be responsible for developing and enhancing our AI agents. The AI team at Yarnit, that you will be a part of develops services that enable the platform. We leverage proprietary and open sourced LLMs and diffusion models for text and image generation. Application of advanced prompt engineering , model fine-tuning and Retrieval Augmented Generation (RAG) power the development of Yarnit's AI agents. The role also involves collaborating with other members from the application engineering and product teams to integrate AI capabilities into our platform and ensuring the scalability and efficiency of our AI infrastructure.
Key Responsibilities
Qualifications
Preferred Qualifications
Apply on LinkedIn or email your application to
Visit for a better understanding of the product.