Principal Engineer, Python fullstack (React+Genai)
Tasks
- 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
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic AI | Azure | CI/CD | Compliance | Data Preprocessing | Distributed Systems | Docker | Feature extraction | GCP | Generative AI | Governance | JavaScript | Kubernetes | LLM | Machine Learning | Model Evaluation | Model Training | Observability | Privacy | Prompt engineering | Python | RAG | REST APIs | React | Responsible AI | Security | Vector Databases
Education
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