GenAI Engineer
Job Description
Qode is seeking a GenAI Engineer to join their team in a hybrid work environment. This role focuses on developing and implementing cutting-edge generative AI solutions, working with state-of-the-art techniques including transformers, GANs, VAEs, and LLM models. The position requires collaboration with data engineers and scientists while building production-ready AI applications. The ideal candidate will have strong expertise in GenAI technologies, cloud platforms, and software engineering principles. They will be responsible for developing user-facing interfaces, optimizing model performance, and ensuring seamless integration with existing systems. This role offers an opportunity to work on innovative AI solutions while staying current with the latest advancements in the field. The position involves both technical implementation and strategic thinking, making it perfect for someone passionate about advancing AI technology while maintaining practical applications.
Responsibilities For GenAI Engineer
- Collaborate with data engineers, data scientists, and stakeholders to understand data requirements and problem statements
- Utilize and enhance GenAI models using techniques like transformers, GANs, VAEs, and LLM models
- Implement and optimize GenAI models for performance, scalability, and efficiency
- Integrate GenAI models into production pipelines and applications
- Develop user-facing interfaces and APIs
- Utilize prompt engineering techniques to enhance model performance
Requirements For GenAI Engineer
- Proficiency in GenAI models and techniques (transformers, GANs, VAEs, LLMs)
- Experience with LangChain and similar tools
- Knowledge of software engineering principles
- Experience with cloud platforms (AWS, Azure, or GCP)
- Containerization technologies (Docker, Kubernetes)
- API development (RESTful or GraphQL)
- Strong documentation skills
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