Agentic AI Engineer - Marketing

About the Company:

Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, Met Life, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case.

Backed by Wndr Co, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.

Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!

As a Staff Agentic AI Engineer at Netomi, you will be a senior individual contributor helping buildthe core agentic factory platform that will enable customers to agentically define and build customer-specific agents to expand marketing-oriented enterprise automation and brand interaction use cases. You will deliver innovative designs and implement reliable, scalable, and measurable agentic systems used by enterprise customers and business users in complex,real-world production environments.

This is a hands-on engineering role for someone who drives innovation and has built productionLLM and agent systems, understands modern agent architectures, and has strong instincts for evaluation, observability, performance diagnosis, and continuous optimization. You will work across agent orchestration, tool use, prompt and tool-selection strategies, RAG, embeddings,guardrails, and LLM evaluation systems and marry these with appropriate deterministic andML-based solutions to expand Netomi’s agentic factory.

• Design, build, and improve production-grade AI agentic systems that optimize web-based and chat-based experiences leveraging grounded, structured data
• Architect agent workflows involving reasoning, tool use, retrieval, guardrails, escalation paths, and performance monitoring
• Evaluate Deep Agent, Claude Agent, OpenAI Agent, Lang Graph, and other emerging agent orchestration patterns and frameworks for marketing-oriented use cases
• Build and maintain LLM evaluation systems, including LLM-as-judge workflows, regression evals, 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, eval methodologies, retrieval systems, and enterprise automation

• 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, Adobe Commerce/Magento, Adobe Real-time CDP, Adobe Target, and/or Adobe Analytics/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 Lang Graph, Lang Chain, or related agent orchestration frameworks
• Strong…