AI Technical Lead (US -Bay)

Key Responsibilities<\/b>
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1. Lead the design and deployment of agentic AI systems.
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2. Coordinate with stakeholders to align AI solutions with business outcomes.
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3. Define AI system architecture and select appropriate frameworks (e.g., LangGraph<\/b>, AutoGen<\/b>, CrewAI<\/b>, LlamaIndex<\/b>).
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4. Implement feedback loops and evaluation frameworks to enhance agent performance.
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5. Ensure seamless integration of agentic AI into existing platforms with scalability.
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6. Design monitoring and observability solutions for AI agents.
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7. Optimize scalability and performance of deployed agentic AI systems.
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8. Define strategies for deployment and operationalization of AI agents.
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   Requirements<\/h3>

   Required Skills & Qualifications<\/b>
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   1. Proven experience implementing AI solutions for enterprise -level challenges.
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   2. Strong expertise in AI system architecture and design.
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   3. Deep practical knowledge of Large Language Models (LLMs)<\/b>, Machine Learning (ML)<\/b>, and agent development.
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   4. Hands -on experience with LLM platforms such as Gemini<\/b>, GPT<\/b>, Llama 2<\/b>, and Mistral<\/b>.
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   5. Proficiency in frameworks like LangGraph<\/b>, Google ADK<\/b>, AutoGen<\/b>, CrewAI<\/b>, and orchestration tools.
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   6. Familiarity with MCP<\/b> and agent -to -agent communication protocols.
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   7. Expertise in LLM evaluation techniques<\/b> and agent performance evaluation
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