Senior Agentic AI Engineer - LLM Systems & Production

Netomi; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Netomi is seeking a Staff Agentic AI Engineer to help build the core agentic factory platform, enabling customers to define and deploy agentic automation at scale. You will drive innovation in LLM and agent systems, with emphasis on grounding, evaluation, and scalable production delivery.

This hands‑on role covers agent orchestration, tool use strategies, RAG, embeddings, guardrails, and performance optimization to meet complex enterprise CX needs in real‑world environments.

Qualifications

• 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.

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.

Skills

Python

AI/ML engineering

NLP

LangGraph/LangChain

AWS

Performance optimization

Data analysis

Observability

Independence

Education

Bachelor’s degree in a quantitative field

Master’s degree (preferred)

Tools

Adobe Experience Platform

AdobeAnalytics/Customer Journey Analytics

Vector databases

LangGraph/LangChain

AWS cloud environments

Job description

Netomi is seeking a Staff Agentic AI Engineer to help build the core agentic factory platform, enabling customers to define and deploy agentic automation at scale. You will drive innovation in LLM and agent systems, with emphasis on grounding, evaluation, and scalable production delivery.

This hands‑on role covers agent orchestration, tool use strategies, RAG, embeddings, guardrails, and performance optimization to meet complex enterprise CX needs in real‑world environments.