ironquill.tech/board

$ cat jobs/team-lead-senior-specialist-ai-buzzboard-com-1b8811229456.json

Team Lead/Senior Specialist - AI

buzzboard com·APAC·India·senior
llmdevops
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Team Lead/Senior Specialist - AI Role Summary BuzzBoard is looking for a Team Lead/Senior Specialist - AI to design, guide, and scale production-grade GenAI and agentic AI systems across our product ecosystem. This is a senior technical leadership role focused on building intelligent AI systems that combine LLMs, SLMs, agents, workflows, retrieval, evaluation, and product intelligence. The ideal candidate has hands-on experience with production GenAI systems and can guide a small team in turning business problems into reliable, scalable, and cost-efficient AI capabilities. This is not a pure research role and not a traditional DevOps role. We are looking for someone who can architect GenAI systems, make smart model and framework choices, guide implementation, and ensure the systems work reliably in real product environments. BuzzBoard already has production GenAI systems generating content and insights across multiple business workflows. This role will help scale that foundation into the next generation of agentic AI products. Key Responsibilities 1. GenAI Architecture & Technical Direction 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. Define architecture patterns for RAG, tool calling, function calling, agent memory, context management, and workflow orchestration. Evaluate when to use LLM APIs, SLMs, fine-tuned models, retrieval-based systems, deterministic logic, or hybrid approaches. Create reusable AI system patterns, prompts, evaluation flows, and orchestration layers that can be used across products. 2. Agentic AI & Workflow Systems Lead the design and development of agentic AI systems that can reason, use tools, call APIs, manage state, and complete multi-step tasks. Build and improve multi-agent collaboration patterns for use cases such as digital marketing,

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