Staff Agentic AI Engineer - Marketing

Netomi; Philippines; Hybrid; PHP 1,200,000 - 2,400,000; Full time

Job summary

Netomi is seeking a senior AI/ML Engineer to design production-grade agentic systems and scalable Python services in AWS. You will work on reasoning, tool use, retrieval, and guardrails, while evaluating cutting-edge agent orchestration frameworks for marketing use cases.

Ideal candidates have 5–7+ years in AI/ML, strong Python skills, and experience with LangGraph/LangChain, RAG, embeddings, and data from Adobe platforms. The role demands independence and senior IC capabilities.

Qualifications

• Bachelor’s Degree or higher in a quantitative field (Statistics, Computer Science, Engineering, Mathematics).
• 5–7+ years of AI/ML engineering, applied machine learning, NLP, and/or AI systems development.
• 3–5 years of AI, data science, and ML 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 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.

Responsibilities

• Design, build, and improve production-grade agentic systems leveraging grounded data.
• Architect agent workflows involving reasoning, tool use, retrieval, guardrails, escalation paths, and performance monitoring.
• Evaluate agent orchestration patterns 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.

Skills

Python

Independent contributor

Low-latency optimization

Data-driven decisions

Engineering judgment

English communication

Education

Bachelor's degree in Statistics/CS/Engineering/Math

Master's degree preferred

Tools

LangGraph

LangChain

AWS

Adobe Experience Platform

Adobe Analytics/Target

Job description

About the Company

Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, 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 WndrCo, 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!

Responsibilities

• 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, LangGraph, 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.

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 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 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.

Preferred Qualifications

• Master’s Degree or higher in a quantitative field (Statistics, Computer Science, Engineering, Mathematics).

• Experience building or using knowledge graphs for enterprise knowledge modeling, retrieval, reasoning, or personalization.

• Hands-on experience building production LLM or AI agent systems.

• Experience designing agent architectures involving tool use, reasoning flows, retrieval, memory, guardrails, and workflow orchestration.

• Experience developing AI evaluation systems, including LLM-as-judge, guardrail evaluation, regression testing, and production quality measurement.

• Experience with enterprise automation platforms, customer experience systems, workflow automation, or AI-powered business process automation.

• Experience with observability and tracing for LLM or agent systems.

• Experience optimizing agent systems for latency, cost, reliability, safety, and task success.

• Experience with vector databases, search infrastructure, model routing, caching, or multi-model architectures.

Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.