Related skills
postgres llms agent frameworks rag architectures ai observability📋 Description
- Own and ship AI features from concept to production.
- Design and implement backend services for AI integrations and data pipelines.
- Build robust APIs for internal AI usage.
- Drive system scalability with caching and optimization.
- Evolve AI infrastructure: architecture, evaluation pipelines.
- Solve AI accuracy, reliability, and quality with quantitative methods.
🎯 Requirements
- Backend engineer with AI products shipped (OpenAI and Anthropic)
- Hands-on with LLM orchestration and LLM API optimization
- Familiar with RAG architectures and technologies
- AI observability experience
- Product-minded and customer-focused
- Self-driven, high-ownership, fast-moving
🎁 Benefits
- Equity compensation
- Remote-friendly startup culture
- Flexible work hours
- Opportunity to work with cutting-edge AI tech
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