Technical Customer Success Manager, AMER West

Akuity; Philippines; Remote; PHP 1,000,000 - 1,700,000; Full time

Job summary

Netomi is seeking a senior AI/ML engineer to design, build, and optimize production-grade agentic systems for enterprise customer experiences.

You will architect agent workflows, evaluate cutting-edge agent orchestration patterns, and build LLM evaluation systems while collaborating with product and engineering teams to enable scalable, knowledge-grounded automation on AWS.

Qualifications

• Bachelor’s Degree or higher in a quantitative field such as Statistics, CS, Engineering, or Mathematics.
• 5-7+ years in AI/ML engineering, NLP, or AI systems development.
• 3-5 years in AI, data science, and ML in marketing space.
• Experience with data from Adobe Experience Platform products is a plus.
• Strong Python engineering skills for scalable production software.

Responsibilities

• Design, build, and improve production-grade AI agentic systems for web-based and chat-based experiences.
• Architect agent workflows with reasoning, tool use, retrieval, guardrails, escalation paths, and performance monitoring.
• Evaluate agent orchestration frameworks for marketing-oriented use cases.
• Build and maintain LLM evaluation systems, including LLM-as-judge workflows and regression evals.
• Diagnose agent performance issues across prompts, retrieval quality, latency, and cost.
• Design and implement RAG and embedding-based capabilities for knowledge access and automation.

Skills

Python

LangChain

LangGraph

Agent orchestration

Retrieval augmented generation

Education

Bachelor's degree in a quantitative field

Master's degree or higher (preferred)

Tools

AWS

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.