about 3 hours ago
Base Salary
$156k - $231k/yr
Responsibilities
- Design and operate the knowledge graph and ontology for grocery data.
- Build retrieval systems to provide reliable context to AI models.
- Develop LLM-powered agents and the infrastructure to run them effectively.
- Create tools and interfaces for other engineers to leverage.
- Establish evaluation metrics and observability for AI performance.
- Build data pipelines and products to transition prototypes to production.
Requirements
- 3+ years of experience in building production software, data, or ML systems.
- Strong systems and API design skills, particularly in Python.
- Hands-on experience with LLM systems, including evaluation and context engineering.
- Solid foundation in data engineering and modern cloud data stacks.
- Ability to navigate the complexities of AI systems and build necessary guardrails.
- A platform mindset focused on leverage and clean interfaces.
Benefits
- Comprehensive medical, dental, and vision coverage with most premiums covered.
- Competitive salary and equity options, along with a generous 401(k) match.
- Flexible workspace options supported by a home office stipend.
- Annual professional development budget for continuous learning.
- Monthly stipends for wellness and telecommunications.
- Flexible paid time off to recharge.