Team Lead – AI

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🕒 May 21

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BuzzBoard

WebsiteLinkedInAll Job Openings

51 - 200 employees

BuzzBoard uncovers data-driven insights about small to mid-sized businesses that drive more meaningful conversations for marketers and sellers, resulting in increased sales across the customer lifecycle. By applying data science and digital signals to the world’s most extensive collection of business intelligence about SMBs, BuzzBoard answers the most important question for marketers and sellers: why will my prospects and customers want to engage? BuzzBoard transforms unproductive sales interactions into customized opportunities to improve customer engagement, book more appointments and close deals faster.

📋 Description

• Architect scalable GenAI systems across content generation, business intelligence, recommendations, automation, and agentic workflows • Design multi-LLM and multi-agent systems using frameworks such as LangGraph, CrewAI, AutoGen, or Semantic Kernel • Lead the design and development of agentic AI systems that can reason, use tools, call APIs, manage state, and complete multi-step tasks • Design and improve RAG pipelines using vector databases, embeddings, chunking strategies, metadata, reranking, and retrieval evaluation • Define AI quality evaluation frameworks for generated content, summaries, recommendations, and agent outputs • Work with engineering and platform teams to ensure AI systems are deployable, observable, and maintainable in production • Mentor GenAI engineers and guide technical decision-making across AI initiatives

🎯 Requirements

• 6+ years of overall engineering, AI, ML, or data product experience • 3+ years of hands-on experience with GenAI, LLMs, NLP, ML systems, or AI-powered products • Core GenAI Expertise • Strong hands-on experience building production GenAI or LLM-powered systems • Deep understanding of LLMs, SLMs, prompt engineering, structured outputs, tool calling, and function calling • Experience with at least two major LLM ecosystems such as OpenAI, Gemini, Anthropic, or Hugging Face • Strong understanding of embeddings, semantic search, retrieval quality, and context design • Agentic AI Experience • Hands-on experience with agentic AI frameworks such as LangGraph, CrewAI, AutoGen, or Microsoft Semantic Kernel • Experience building multi-step reasoning workflows, agent pipelines, or AI workflow automation • Understanding of agent memory, tool integration, state management, and failure handling • Strong Python skills with experience in AI/ML or backend development

🏖️ Benefits

• Professional development opportunities • Flexible work arrangements