Team Lead – AI
Posted 2ds ago
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Job Description
Team Lead/Senior Specialist - AI at BuzzBoard designing and scaling production-grade GenAI systems. Leading technical direction for intelligent AI systems focusing on reliability and scalability.
Responsibilities:
- 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


















