Principal Engineer, Python fullstack (React+Genai)
Posted Updated
Summary
Principal Engineer building GenAI platform components, RAG pipelines, and AI UX patterns with Python fullstack (React) while ensuring secure, scalable LLM inference and compliance.
- Build reusable GenAI platform components SDKs and frameworks
- Convert business requirements into technical design
- Create maintain documentation for AI models and applications
- Define frontend architecture and AI UX patterns
- Design scalable secure cost efficient LLM inference backend
- Drive secure privacy compliance governance for enterprise AI
- Establish engineering standards for prompt design evaluation and observability
- Implement RAG pipelines and agent based orchestration
- Integrate generative AI into products using libraries and APIs
- Lead GenAI workflow design with tools APIs and structured data
- Lead technical discovery and solutioning for high impact initiatives
- Map requirements to developer implementation decisions
- Promote code quality agents and CI CD practices
- Run POCs to validate design and technology choices
- Troubleshoot and resolve AI model implementation issues