about 4 hours ago
Responsibilities
- Drive the end-to-end execution and delivery of AI-native products.
- Architect, build, and productionize core components of the AI platform.
- Enforce technical discipline and operational excellence for AI products.
- Iterate on AI products based on performance metrics and user feedback.
- Lead the evaluation and adoption of new AI technologies.
- Partner with product managers to translate strategic goals into technical realities.
- Collaborate with engineering leads to define and implement platform architecture.
- Evaluate and drive strategic business and technology decisions.
Requirements
- B.S. or M.S. in Computer Science or a similar technical field.
- Extensive software engineering experience.
- Proven track record of owning and shipping complex, production-grade systems.
- Experience shipping and maintaining AI-native products or features.
- Strong ownership mindset and a bias for action.
- Preferred experience with LLMs and agentic systems.
- Hands-on experience with modern AI/LLM technologies like Databricks or MLFlow is preferred.
- Advanced understanding of probabilistic systems underpinning modern LLMs is preferred.
Tech Stack
DatabricksMLflow
Categories
AI & MLData Engineering