about 3 hours ago
Responsibilities
- Design and implement retrieval augmented generation (RAG) systems for contextual AI responses.
- Build evaluation platforms and frameworks to measure AI system performance and quality.
- Develop novel interaction patterns and user experiences for large language model integrations.
- Build systems for data collection, labeling, and continuous improvement of AI models.
- Collaborate closely across teams to identify opportunities where AI can create meaningful user value.
- Build reusable AI infrastructure and platforms that enable rapid AI feature development.
- Implement AI safety measures, monitoring, and quality assurance systems.
- Present AI capabilities and demos to internal teams and gather feedback.
- Stay current with latest AI/ML research and incorporate relevant advances into products.
Requirements
- 5+ years of software engineering experience, with significant focus on building AI/ML systems.
- Strong expertise in large language models, RAG systems, and modern AI frameworks.
- Experience with ML operations, model deployment, and AI system monitoring.
- Proven experience building production AI applications, from experimentation to deployment.
- Deep understanding of prompt engineering, fine-tuning, and AI evaluation methodologies.
- Proficiency in analyzing AI system performance and implementing improvements.
- Experience with vector databases, embedding systems, and semantic search.
- Knowledge of AI safety practices and responsible AI development.
- Strong communication skills, with the ability to explain AI concepts to technical and non-technical stakeholders.
Benefits
- Highly competitive base salary and bonus structure, plus early-stage equity.
- Comprehensive benefits including health, dental, and vision coverage.
- Generous paid time off (PTO) and additional benefits that support how you work.
- Career advancement paths and dedicated mentorship opportunities.
- A collaborative, innovative, and fast-paced work environment.