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, including working with LLMs, transformers, and RAG applications. The ideal candidate will collaborate with cross-functional teams to build scalable AI applications and integrate them into production environments. The position requires expertise in machine learning, cloud platforms, and modern software engineering practices. You'll be responsible for developing user-facing interfaces, optimizing model performance, and staying current with the latest AI advancements. This role offers an opportunity to work with state-of-the-art AI technologies while building practical, production-ready applications that deliver real business value.
Responsibilities For GenAI Engineer
- Collaborate with data engineers, data scientists, and stakeholders
- Utilize, apply & enhance GenAI models using 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
- Build and deploy GenAI applications on cloud platforms
- Document code, models, and processes
- Build and maintain tools for data processing
Requirements For GenAI Engineer
- Experience with LLM architectures and capabilities
- Knowledge of vector representations for data processing
- Experience with chunking strategies for large datasets
- Proficiency in RAG workflows
- Experience with LangChain and similar tools
- Cloud platform expertise (AWS, Azure, or GCP)
- Experience with containerization (Docker, Kubernetes)
- API development (RESTful or GraphQL)
- Unix or Shell scripting knowledge
Related Jobs
