Remotely
pythoncloudprompt engineeringllmsapisragvector databasesagent frameworks
Job Description
📋 Description
- Lead rapid prototyping, experimentation, and validation of agentic AI solutions.
- Evaluate foundation models and agent frameworks for enterprise adoption.
- Develop reusable POCs, accelerators, and reference architectures.
- Collaborate with AI Eng, Platform Eng, Product, Architecture, and other teams to productionize
- Establish best practices for prompt engineering, memory architectures, observability, and
- Contribute to enterprise-wide standards and reusable AI patterns.
🎯 Requirements
- Bachelor’s or higher in CS/AI/Engineering or related field.
- 7+ years building AI/ML/software with technical leadership experience.
- Strong hands-on with LLMs, agent frameworks, RAG, vector DBs, APIs, Python, cloud-native dev.
- Production-grade AI application design and scalable solutions.
- Experience translating experimental concepts into production-ready implementations.
- Strong communication and collaboration across research, engineering, architecture, product, and
🎁 Benefits
- Base salary: $194,600–$361,400 USD per year, final compensation based on skills/experience.
- Performance compensation: eligible for cash incentives.
- Equity: eligible for annual equity awards depending on level.
- Healthcare: comprehensive health benefits for US employees.
- Insurance: life and disability coverage.
- Retirement: 401(k) with employer match.