Staff AI Engineer – Marketing

🕒 September 9

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Netomi

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

📣 Marketing

💰 $30M Series B on 2021-11

Consulting • Logistics • Marketing

Netomi is a company that specializes in providing AI-powered customer experience solutions. Their platform, known as Agentic OS, is designed for enterprise-scale customer service and integrates seamlessly with existing business systems. Netomi's solutions leverage generative AI and large language models to automate over 80% of customer inquiries, enhance customer satisfaction, and reduce support costs. Netomi is trusted by global brands across various industries, offering secure, proactive, and predictive customer care through omnichannel support, including email, chat, messaging, SMS, social media, search, and voice. The company ensures compliance with stringent security standards and data protection regulations.

📋 Description

• Design, build, and improve production-grade AI agentic systems for web-based and chat-based experiences using grounded, structured data • Architect agent workflows involving reasoning, tool use, retrieval, guardrails, escalation paths, and performance monitoring • Evaluate Deep Agent, Claude Agent, OpenAI Agent, LangGraph, and other emerging agent orchestration frameworks for marketing-oriented use cases • Build and maintain LLM evaluation systems, including LLM-as-judge workflows, regression evaluations, guardrail testing, quality metrics, and production behavior analysis • Diagnose agent performance issues across prompts, tool selection, retrieval quality, latency, cost, task completion, and failure modes • Design and implement RAG and embedding-based capabilities for enterprise knowledge access and automation workflows • Build scalable Python services and platform components deployed in AWS cloud environments • Partner with product, platform, and engineering teams to translate emerging agentic AI capabilities into reliable platform features • Establish engineering best practices for continuous optimization of agentic systems • Stay current with advances in LLMs, agent architectures, AI coding tools, evaluation methodologies, retrieval systems, and enterprise automation • Help build Netomi’s core agentic factory platform for customer-specific agents and marketing-oriented enterprise automation • Deliver reliable, scalable, and measurable agentic systems for enterprise customers and business users

🎯 Requirements

• Bachelor’s Degree or higher in a quantitative field (Statistics, Computer Science, Engineering, Mathematics) • 5-7+ years of experience in AI/ML engineering, applied machine learning, natural language processing, and/or AI systems development • 3-5 years of experience in applying AI, data science, and machine learning in the marketing space • Experience leveraging data from Adobe Experience Platform, AdobeCommerce/Magento, Adobe Real-time CDP, Adobe Target, and/or AdobeAnalytics/Customer Journey Analytics for data science modeling and performance analysis • Strong Python engineering skills and experience building scalable production software systems • Hands-on experience with LangGraph, LangChain, or related agent orchestration frameworks • Strong understanding of RAG, embeddings, retrieval quality, and knowledge-grounded generation • Experience deploying or operating systems in AWS cloud environments • Daily use of AI coding tools such as Codex, Claude Code, Cursor, or similar tools as part of software development workflows • Strong engineering judgment, ability to work independently, and comfort operating as a senior individual contributor on ambiguous technical problems