Stack AI is looking for 10X engineers to enhance their retrieval-augmented generation (RAG) capabilities and embedding generation techniques to optimize accuracy and efficiency for their no-code AI workflow tool.
Requirements
- Proven experience in machine learning and AI, with a focus on generative models.
- Knowledge of retrieval-augmented generation pipelines and their implementation.
- Strong proficiency in Python and popular machine learning frameworks like TensorFlow or PyTorch.
- Experience with embedding techniques and understanding of their applications in AI models.
- Published research or projects in the field of generative AI, embeddings, or retrieval-augmented generation.
- Experience with large-scale ML deployments in a production environment.
- Contribution to open-source AI/ML projects.
Responsibilities
- Enhance our retrieval-augmented generation (RAG) capabilities, ensuring our models effectively integrate and utilize diverse data sources.
- Work on embedding generation techniques, optimizing them for accuracy and efficiency.
- Keep abreast of the latest developments in AI models, their evolving capabilities, and the complexities of integration.
- Position yourself as the go-to expert within the team, guiding our end users in crafting their use cases with the most suitable models.
- Collaborate with backend and frontend teams to integrate AI models into products and services.
Other
- We need 10X engineers to make this happen! True wizards that can deliver on a daily basis in the high-paced environment.
- We're all about our users - listen to their needs, help them, build strong relationships! Expect to dive into customer support now and then as everyone else in the team.
- Excellent problem-solving skills and the ability to work in fast-paced environments.
- Strong communication and collaboration skills.
- As an early-stage startup joiner, you may need to wear many hats.
