Principal AI Engineer

🕒 August 7

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 47%

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BuzzBoard

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

BuzzBoard is a B2SMB account intelligence platform that transforms the way marketing and sales teams engage with small to mid-sized businesses (SMBs). By applying data science and digital signals to an extensive collection of business intelligence, BuzzBoard uncovers data-driven insights that help drive meaningful conversations and increase sales throughout the customer lifecycle. The platform focuses not only on generating leads but also on addressing the reasons why prospects and customers will want to engage, offering capabilities for micro-targeting, upselling, and cross-selling, as well as automated monitoring of top accounts to enhance retention.

📋 Description

• Design the systems behind content generation, business intelligence, recommendations, and agentic workflows • Create reusable patterns, prompts, evaluation flows, and orchestration layers across products • Lead the design of agents that reason, call tools and APIs, manage state, checkpoint, and hand tasks off • Build guardrails that keep agents grounded, predictable, and safely recoverable • Design end-to-end RAG pipelines including chunking, embeddings, metadata, reranking, and retrieval evaluation • Own model selection based on cost, latency, accuracy, and reliability • Define fallback and model-switching behavior when providers degrade • Establish evaluation frameworks for output quality, edit ratio, hallucination rate, schema adherence, latency, failure rate, and inference cost • Build regression testing to prevent prompt or model changes from silently breaking production • Partner with engineering and platform teams on deployable, observable, and maintainable systems • Package services using Python, FastAPI/Flask, and Docker when appropriate • Diagnose AI-specific production failures including rate limits, cost spikes, model failures, and degraded output • Mentor GenAI engineers and review designs, prompts, workflows, and evaluations • Translate product requirements into architecture with measurable acceptance criteria • Communicate technical tradeoffs to engineers and leadership

🎯 Requirements

• 5+ years in engineering, AI, ML, or data-product work • 3+ years hands-on with GenAI / LLM systems • Production GenAI experience with systems that carried real traffic • Deep working knowledge of LLMs and SLMs, prompt engineering, structured outputs, and tool/function calling • Hands-on with at least two major LLM ecosystems • Experience with vector stores such as Chroma, Pinecone, Weaviate, or FAISS; embeddings, semantic search, and measured retrieval quality • Hands-on with at least one agentic framework such as LangGraph, CrewAI, AutoGen, or Semantic Kernel • Strong Python; comfortable with REST APIs, Docker, a cloud platform, and basic CI/CD • Demonstrated evaluation work including regression testing, hallucination checks, schema validation, and output scoring • Track record guiding a small team or owning AI architecture end to end • Comfort creating structure in a fast-moving environment with shifting requirements • Preferred: fine-tuning or supervised training workflows • Preferred: SLM and open-source model deployment; vLLM, Ollama, or TensorRT-LLM • Preferred: multimodal work across text, image, audio, or video • Preferred: Kubernetes or serverless deployment • Preferred: evaluation/observability tooling such as LangSmith, MLflow, or Weights & Biases • Preferred: marketing technology, SMB intelligence, or content-automation domain experience • Preferred: responsible AI, privacy, security, and compliance practice • Preferred: experience scaling AI systems that generate high volumes of content, recommendations, or insights

🏖️ Benefits

• Fully remote • A production GenAI foundation already carrying real volume • Genuine architectural ownership over the agentic systems that come next • A small, high-context team that moves quickly and argues about the work • Real impact on small businesses

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