Design and build an agentic AI platform to manage renewable energy certificates and automate related workflows.
Collaborate across teams to integrate the platform, optimize user onboarding, and iterate based on feedback and metrics.
Responsibilities
Design and develop the agentic AI platform, focusing on renewable energy certificate management.
Create and optimize frictionless onboarding workflows to enhance user experience and facilitate seamless access to the platform.
Implement intelligent automation for renewable energy certificate management processes to improve efficiency and reduce manual tasks.
Collaborate with technical teams to ensure smooth integration of the AI platform with existing systems and third-party applications.
Analyze user feedback and performance metrics to identify improvement opportunities and implement necessary enhancements.
Requirements
Fluent English is required.
MCP (Model Context Protocol): Deep understanding of MCP server architecture, client-server communication, and tool/resource integration.
Multi-Agent Systems: Experience building agent-to-agent workflows, agent orchestration, and Mixture of Experts (MoE) architectures.
LLM Integration: Proficiency with OpenAI (GPT-4, GPT-4o), Anthropic Claude (Opus, Sonnet), Google Gemini APIs.
AI Frameworks: Experience with LangChain, LangGraph, AutoGen, CrewAI, or similar agent frameworks.
RAG (Retrieval-Augmented Generation): Experience with vector databases, embeddings, and semantic search implementations.
Prompt Engineering: Advanced prompt design, chain-of-thought reasoning, and function calling.
Frontend: React, Next.js, TypeScript, and modern JavaScript.
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