
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.
51 - 200 employees
November 26

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.
51 - 200 employees
• Help implement AI features using LLM frameworks like LangChain • Work on deploying these solutions through cloud platforms
• 1+ Years • Good coding skills in Python • Understanding of machine learning and LLM fundamentals • Hands-on experience with OpenAI, Gemini, Claude, or similar LLMs • Experience working with LangChain, LLamaIndex, or similar LLM app frameworks • Knowledge of Natural Language Processing (NLP) concepts such as tokenization, named entity recognition, summarization, etc. • Experience with prompt design, chaining logic, and RAG pipelines • Good knowledge of vector databases (e.g., Pinecone, FAISS, Chroma) is a plus • Built LLM-based projects or chatbots using LangChain or OpenAI tools • Experience with frontend/backend integration of LLM apps (e.g., Streamlit, FastAPI) • Familiarity with cloud tools like Google Cloud and AWS • Exposure to prompt engineering techniques and evaluation metrics • Familiarity with tools like Git, Jupyter, and version control systems • Strong curiosity and willingness to explore and learn new AI tools
Apply NowNovember 18
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