- Design, build, and manage GenAI platforms leveraging Google Vertex AI
- Develop reusable platform components and services for:
- LLM orchestration
- Prompt management
- RAG pipelines
- Enable scalable deployment of LLM-powered applications across teams
- Build internal frameworks, APIs, and SDKs for AI use cases
- GenAI Application Development
- Develop AI applications using:
- LangChain, LangGraph
- RAG (Retrieval-Augmented Generation) pipelines
- Build use cases such as:
- AI copilots
- Conversational agents
- Document intelligence systems
- Integrate models via:
- Vertex AI (Gemini models)
Python Development (Core Requirement)
- Build scalable backend services using Python
- Use frameworks such as:
- FastAPI / Flask
- Develop orchestration layers for multi-step GenAI workflows (LangGraph)
- Write clean, modular, and reusable code for AI systems
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